Date Posted:

2026-03-02

Country:

United States of America

Location:

US-MA-TEWKSBURY-TB3 50 Apple Hill Dr CONCORD BLDG, Tewksbury Tb3 300 Concord

Position Role Type:

Onsite

U.S. Citizen, U.S. Person, or Immigration Status Requirements:

Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance

Security Clearance Type:

Secret - Current

Security Clearance Status:

Active and existing security clearance required on day 1

At Raytheon, the foundation of everything we do is rooted in our values and a higher calling - to help our nation and allies defend freedoms and deter aggression. We bring the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today’s mission and stay ahead of tomorrow’s threat. Our team solves tough, meaningful problems that create a safer, more secure world.

Are you ready to join a dynamic, comprehensive, and growing professional organization? The Systems Engineering (SE) Long Range Radars (LRR) department is seeking a Senior Systems Engineer to contribute to concept development, architectural design, requirements generation and flow-down, modeling and simulation, systems analysis, integration, testing, and evaluation of world-class Missile Defense and Sensor Systems. In this role, you will support the technical development and sustainment of the C5I product line, working on command-and-control systems. You will collaborate with a multidisciplinary team to define system requirements, design architectures and algorithms, and work closely with software development teams and onsite field support to ensure successful implementation.

We value various skills and experience, so don’t hold back. Your qualifications could add tremendous value to our team. Our customers come from all different backgrounds, and so do our employees. If you’re passionate about what you could accomplish here, we’d love to hear from you!

What You Will Do

In this role, you will collaborate across disciplines and partner with Scrum teams to implement solutions, gaining exposure to every aspect of the system while directly contributing to its success. Key responsibilities include:

• Developing and supporting system architecture design and implementation.
• Defining, documenting, and managing system requirements.
• Creating and maintaining Interface Design Documentation.
• Monitoring existing systems to identify bottlenecks, performing root cause analysis, and implementing improvements.
• Analyzing data for operations center hardware, software, and simulations.
• Using data analysis results to support issue identification and resolution.
• Collaborating across engineering functions to drive performance and resolve technical challenges.
• Assessing radar system performance data with respect to requirements.
• Identifying performance deficiencies and proposing innovative solutions.
• Presenting plans, designs, and system performance assessments to peers, internal leadership, and external customers.
• Providing subject matter expertise to agile software development teams to ensure proper implementation of requirements.
• This position will be on site in Tewksbury, MA.

Qualifications You Must Have

• Typically requires Bachelor’s in Science, Technology, Engineering, or Mathematics (STEM) and a minimum of 5 years of prior relevant experience.
• Experience with Requirements Analysis and/or Management using DOORS.
• Experience with Systems Engineering processes.
• Experience developing, documenting, and maintaining processes, methods and/or tools.

Qualifications We Prefer

• Strong analytical, technical, and problem-solving skills.
• Experience interfacing with internal and external customers and delivering technical solutions to complex problems.
• Knowledge of complex command-and-control systems involving multiple sensors and effectors.
• Familiarity with Link-16 networking and interfaces.
• Experience with scripting languages such as Python, Ruby, or PowerShell.
• Effective communication and presentation skills, with the ability to convey technical concepts to various audiences.

What We Offer

• Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation.

• Relocation Eligibility- Relocation assistance available

Learn More & Apply Now!

• Please consider the following role type definition as you apply for this role.

• Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products.

As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote.

The salary range for this role is 86,800 USD - 165,200 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate’s work experience, location, education/training, and key skills.Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement.Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company’s performance.This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply.RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window.

RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans’ Readjustment Assistance Act.

Privacy Policy and Terms:

Click on this link to read the Policy and Terms

RELOCATION ASSISTANCE: No relocation assistance availableCLEARANCE TYPE: SecretTRAVEL: Yes, 10% of the TimeDescriptionAt Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people’s lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation’s history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they’re making history. Job Description

Join Northrop Grumman on our continued mission to push the boundaries of possible across land, sea, air, space, and cyberspace. Enjoy a culture where your voice is valued and start contributing to our team of passionate professionals providing real-life solutions to our world’s biggest challenges. We take pride in creating purposeful work and allowing our employees to grow and achieve their goals every day by Defining Possible. With our competitive pay and comprehensive benefits, we have the right opportunities to fit your life and launch your career today.

Northrop Grumman Space Systems, Multi-Domain Operations, Missile Defense Integration Business Unit (BU) has an exciting career opportunity for a Software Engineer supporting an Internal Research and Development (IRAD) to join our team of qualified, diverse, and innovative individuals located in Huntsville, AL.

As a software developer on an Internal Research and Development (IRAD) team. You will work in a collaborative environment to understand system requirements, create and implement new capabilities and algorithms. Many of the algorithms and capabilities implemented by the team will be mathematics and physics intensive complex solutions that will be highly critical to the system performance. In addition to software development you will also be expected to support reviews of requirements and test cases that are developed for the software capability.

Basic Qualifications:

• Bachelor’s degree in STEM related field, and 8 years of related experience, or a Master’s degree with 6 years of related experience, or 4 years of related experience with a PhD.
• Applicants must have a current, active in-scope DoD-issued Secret security clearance at the time of application, which is required to start
• Recent and extensive Experience DevelopingSoftware inC++ or Java
• Quick to learn and absorb new concepts and information
• Recent MATLAB and or Python Experience
• Must have an Interim or Active Secret Clearance
• Unix/Linux Operating System Experience
• Must be able to support an in-person / closed-area work environment

Preferred Qualifications:

• Highly experienced with Linux, scripting, and operations
• Experience with automated software requirements testing and analysis
• Experience with the battle management and or fire control systems
• Experience with containerization technologies (e.g., Docker, Kubernetes) and container orchestration.
• Experience with Behavior Driven Development (BDD) using tools like Gherkin and Cucumber for automated acceptance testing
• Experience with Static & Dynamic Code Analysis Tools and Fuzzing Tools such as: Coverity, Fortify, AND/OR SonarQube
• Experience developing software in an Model Based Systems Engineering (MBSE) environment.
• Experience with CI/CD, containers, and pipelines.
• Experience with Software Change Control, Change Management, Code Quality, Static Analysis, and CI/CD tools such as: Atlassian tool suite, Jira, GitHub, GitLab, SonarQube, Coverity, and Jenkins.
• Very solid background in math and physics
• Advanced degree in Mathematics or Physics or Computer Science

What We Can Offer You:

Northrop Grumman provides a comprehensive benefits package and a work environment that encourages your growth, supporting both employees and the company’s success. The benefits offered at Northrop Grumman are flexible and customizable, allowing you to choose options that best suit your needs and those of your family. Your benefits include the following:

Health Plan

Savings Plan

Paid Time Off

Education Assistance

Training and Development

Flexible Work Arrangements

Primary Level Salary Range: $135,800.00 - $203,600.00The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate’s experience, education, skills and current market conditions.Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business.The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates.Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.

Description

We are seeking a Lead Software Developer who will be a member of a dynamic team Air Traffic Management program - SkyLine-X™

SkyLine-X™ provides an array of advanced air traffic management capabilities to improve aircraft safety, performance, and efficiency across the world’s airspace.

Primary Responsibilities:

• Design, develop, and maintain software components both independently and as a key contributor within a SW team
• Actively participate in SW planning, estimation, statusing, and technical discussions, providing input on design and implementation approaches
• Analyze system and subsystem requirements and translate them into robust software designs using sound engineering principles
• Lead implementation of moderately complex features, ensuring code is scalable, maintainable, efficient, and aligned with system architecture
• Leverage AI-assisted development tools (e.g., Roo Code, Claude, ChatGPT, or similar) to enhance productivity across coding, debugging, testing, and documentation
• Exercise strong technical judgment in evaluating AI-generated outputs, identifying subtle defects, edge cases, performance issues, and security risks
• Develop, standardize, and promote effective prompting strategies and AI-assisted development workflows within the team
• Contribute to and help enforce best practices for responsible AI usage, including code validation, traceability, and compliance with project and security standards
• Perform code reviews, providing constructive feedback on both human- and AI-generated code
• Troubleshoot and resolve complex software issues and support integration and system-level testing activities
• Contribute to continuous improvement of development processes, tooling, and team efficiency, including integration of AI capabilities into workflows

Basic Qualifications:

• Must be able to obtain and maintain a Public Trust security clearance (US Citizenship required)
• Bachelor’s degree in computer science or a related field and a minimum of 4 years of prior relevant experience
• Proficiency in programming languages such as C++, Python, or Qt, with experience developing and maintaining production-quality code
• Demonstrated experience using AI-assisted software development tools (e.g., GitHub Copilot, ChatGPT, Roo Code, or similar) to improve development efficiency and code quality
• Strong ability to evaluate, validate, and refine AI-generated code, including identifying logical errors, edge cases, and security considerations
• Solid understanding of software design principles, debugging techniques, testing methodologies, and code quality practices
• Experience participating in code reviews and contributing to team development standards
• Ability to work independently on moderately complex tasks and provide technical guidance to less experienced developers
• Strong communication skills and ability to collaborate effectively in a team environment
• Demonstrated initiative in improving development workflows, tools, and practices, including the adoption of AI-assisted techniques

(Optional) Preferred Qualifications:

• Experience helping define or standardize AI-assisted development practices within a team or project
• Experience integrating AI tools into development pipelines, testing frameworks, or documentation processes
• Familiarity with secure coding practices and validating AI-generated code in regulated or mission-critical environments
• Prior experience mentoring junior developers or onboarding new team members

If you’re looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo — because the mission demands it. We’re not hiring followers. We’re recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We’re already at step 30 — and moving faster than anyone else dares.

Original Posting:

April 1, 2026

For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.

Pay Range:

Pay Range $87,100.00 - $157,450.00

The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

About Leidos

Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit www.Leidos.com.

Pay and Benefits

Pay and benefits are fundamental to any career decision. That’s why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at www.leidos.com/careers/pay-benefits.

Securing Your Data

Beware of fake employment opportunities using Leidos’ name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the Leidos.com automated system – never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at LeidosCareersFraud@leidos.com.

If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the U.S. Federal Trade Commission.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.

Description

We are seeking a Software Developer who will be a member of a dynamic team Air Traffic Management program - SkyLine-X™

SkyLine-X™ provides an array of advanced air traffic management capabilities to improve aircraft safety, performance, and efficiency across the world’s airspace.

Primary Responsibilities:

• Responsible for software development activities both individually and as a member of a SW team
• Actively participate in SW planning, statusing, and related team activities
• Analyze system requirements and apply appropriate design techniques and software engineering principles to develop code that is modifiable, efficient, reliable, understandable, fault tolerant, and reusable
• Leverage AI-assisted development tools (e.g., Roo Code, Claude, ChatGPT, or similar) to improve productivity in coding, debugging, test generation, and documentation
• Critically evaluate, test, and refine AI-generated outputs, demonstrating sound judgment in identifying inaccuracies, edge cases, and security or performance concerns
• Develop and iterate on effective prompting strategies and workflows to improve consistency and efficiency when using AI tools
• Contribute to team best practices for responsible and effective use of AI-assisted development, including code review considerations and documentation standards
• Troubleshoot and resolve moderately complex software issues, both independently and with team support
• Provide software process management and control throughout the development process and promote code reuse and cross-program collaboration to reduce maintenance costs

Basic Qualifications:

• Must be able to obtain and maintain a Public Trust security clearance (US Citizenship required)
• Bachelor’s degree in computer science or a related field and a minimum of 2 years of prior relevant experience
• Experience with programming languages such as C++, Python, or Qt
• Practical experience using AI-assisted software development tools in a development environment
• Demonstrated ability to validate, debug, and improve AI-generated code and recommendations
• Solid understanding of software engineering fundamentals, including debugging, testing, code reviews, and maintainability
• Ability to plan and prioritize tasks with minimal supervision and communicate effectively both verbally and in writing
• Ability to work independently on well-defined tasks and contribute effectively within a team environment
• Demonstrated curiosity and initiative in adopting new tools and improving development workflows, including emerging AI capabilities

If you’re looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo — because the mission demands it. We’re not hiring followers. We’re recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We’re already at step 30 — and moving faster than anyone else dares.

Original Posting:

April 1, 2026

For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.

Pay Range:

Pay Range $69,550.00 - $125,725.00

The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

About Leidos

Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit www.Leidos.com.

Pay and Benefits

Pay and benefits are fundamental to any career decision. That’s why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at www.leidos.com/careers/pay-benefits.

Securing Your Data

Beware of fake employment opportunities using Leidos’ name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the Leidos.com automated system – never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at LeidosCareersFraud@leidos.com.

If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the U.S. Federal Trade Commission.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.

The AI Solutions & Automation Product Manager drives the identification, design, pilot, and scaling of AI and automation solutions across North America Parts & Service. The role partners with business functions, ICT, AI strategists, data teams, and the Parts & Services AI Champion network to deliver measurable impact through workflow optimization, improved customer and employee experience, and digital process transformation.

This role exists to support the broader organizational mission to accelerate digital transformation and scale AI adoption across Stellantis NA P&S and reports to the Head of NA Parts & Services Aftersales Technology.

Key Responsibilities:

1. Use Case Discovery & Prioritization

• Partner with assigned business domains to identify high-value AI, Copilot, and other low-code/no-code automation opportunities.
• Conduct process mapping and problem analysis to define requirements and value hypotheses.
• Maintain and refine the domain-specific opportunity backlog.

2. Solution Design & Pilot Execution

• Translate business needs into clear user stories, requirements, and acceptance criteria.
• Lead pilot cycles end-to-end: design → test → evaluate → iterate.
• Partner with ICT, data engineering, and automation teams to ensure feasibility and solution integration within corporate governance requirements.

3. Scaling & Adoption

• Develop deployment playbooks, documentation, and training assets.
• Work with business leaders, frontline teams, and AI Champions to embed AI into daily operations.
• Create reusable templates, prompt libraries, workflows, or automation components.

4. Measurement & Governance

• Define KPIs and measure solution performance, productivity impact, and financial outcomes.
• Ensure compliance with Stellantis’ Responsible AI and Data Governance frameworks.
• Support change‑management activities to strengthen adoption readiness.

Our Benefits - Designed with You in Mind

Comprehensive Health & Well-being Coverage

From your very first day, you’ll have access to medical, dental, vision, and prescription drug coverage - ensuring you and your family stay healthy and protected.

Generous Paid Time Off

We believe in work-life balance. That’s why we offer: 17+ paid holidays, including shut-down from December 24th through New Years Day every year. Vacation, float & wellbeing days, sick time and fully paid parental leave when your family needs you most.

Competitive Retirement Savings Plans

We help you plan for the future with:

• An employer match on contributions to your 401k, Roth, and Catch-Up plans
• An employer contribution, even if you don’t contribute

Income Protection & Insurance Options

Benefit from included and optional disability, life, and other insurance programs - because your peace of mind matters.

Company Vehicle Lease Program

Eligible employees and their immediate families can enjoy company vehicle lease options with included insurance, maintenance, and unlimited mileage. Plus, take advantage of exclusive discounts on Stellantis products.

Family Building Benefit

We proudly support all paths to parenthood- including fertility and infertility treatments, adoption services, and gestational surrogacy.

Support for Your Growth and Giving Back

We believe in investing in your future and your passions:

• Tuition reimbursement
• Student loan refinancing programs
• 18 paid volunteer hours each year to make a difference in your community

And so much more!

When you join us, you’re not just building a career - you’re joining a company that supports you, inside and outside of work.

The AI Solutions & Automation Product Manager drives the identification, design, pilot, and scaling of AI and automation solutions across North America Parts & Service. The role partners with business functions, ICT, AI strategists, data teams, and the Parts & Services AI Champion network to deliver measurable impact through workflow optimization, improved customer and employee experience, and digital process transformation.

This role exists to support the broader organizational mission to accelerate digital transformation and scale AI adoption across Stellantis NA P&S and reports to the Head of NA Parts & Services Aftersales Technology.

Key Responsibilities:

1. Use Case Discovery & Prioritization

• Partner with assigned business domains to identify high-value AI, Copilot, and other low-code/no-code automation opportunities.
• Conduct process mapping and problem analysis to define requirements and value hypotheses.
• Maintain and refine the domain-specific opportunity backlog.

2. Solution Design & Pilot Execution

• Translate business needs into clear user stories, requirements, and acceptance criteria.
• Lead pilot cycles end-to-end: design → test → evaluate → iterate.
• Partner with ICT, data engineering, and automation teams to ensure feasibility and solution integration within corporate governance requirements.

3. Scaling & Adoption

• Develop deployment playbooks, documentation, and training assets.
• Work with business leaders, frontline teams, and AI Champions to embed AI into daily operations.
• Create reusable templates, prompt libraries, workflows, or automation components.

4. Measurement & Governance

• Define KPIs and measure solution performance, productivity impact, and financial outcomes.
• Ensure compliance with Stellantis’ Responsible AI and Data Governance frameworks.
• Support change‑management activities to strengthen adoption readiness.

Our Benefits - Designed with You in Mind

Comprehensive Health & Well-being Coverage

From your very first day, you’ll have access to medical, dental, vision, and prescription drug coverage - ensuring you and your family stay healthy and protected.

Generous Paid Time Off

We believe in work-life balance. That’s why we offer: 17+ paid holidays, including shut-down from December 24th through New Years Day every year. Vacation, float & wellbeing days, sick time and fully paid parental leave when your family needs you most.

Competitive Retirement Savings Plans

We help you plan for the future with:

• An employer match on contributions to your 401k, Roth, and Catch-Up plans
• An employer contribution, even if you don’t contribute

Income Protection & Insurance Options

Benefit from included and optional disability, life, and other insurance programs - because your peace of mind matters.

Company Vehicle Lease Program

Eligible employees and their immediate families can enjoy company vehicle lease options with included insurance, maintenance, and unlimited mileage. Plus, take advantage of exclusive discounts on Stellantis products.

Family Building Benefit

We proudly support all paths to parenthood- including fertility and infertility treatments, adoption services, and gestational surrogacy.

Support for Your Growth and Giving Back

We believe in investing in your future and your passions:

• Tuition reimbursement
• Student loan refinancing programs
• 18 paid volunteer hours each year to make a difference in your community

And so much more!

When you join us, you’re not just building a career - you’re joining a company that supports you, inside and outside of work.

ABOUT THE ROLE

We are looking for a deeply technical engineer who lives and breathes AI infrastructure - someone who can build, deploy, and scale production LLM systems from bare metal to browser. This is not a prompt-engineering role. We need someone who understands how transformers actually work, can diagnose bottlenecks at the infrastructure level, and builds reliable, observable systems around fundamentally probabilistic models.

You will own the full lifecycle of AI model deployment and play a key role in ensuring seamless CI/CD, infrastructure reliability, security, and performance across our environments.

WHAT YOU’LL DO

• Design and operate high-availability LLM inference clusters using vLLM, SGLang, and NVIDIA Triton
• Build AI-powered tools and customer-facing products with React frontends and Python/FastAPI backends
• Manage Kubernetes clusters (k8s, k3s, RKE2) end-to-end: provisioning, networking, GPU operator configuration, and upgrades
• Establish and maintain CI/CD pipelines for model packaging, container builds, and automated deployments
• Evaluate, fine-tune, and benchmark open-weight models for specific downstream tasks
• Build RAG pipelines and agentic workflows using vector databases and tool-calling frameworks
• Instrument infrastructure with monitoring and observability tooling to surface latency, throughput, and resource metrics
• Deploy and maintain AI systems in compliance-sensitive environments (CMMC, FedRAMP, ITAR)
• Maintain documentation of architectures, configurations, and processes across projects
• Track and manage tasks across concurrent projects using Kanban tools (ClickUp, Jira)

REQUIRED SKILLS

AI / ML & Inference

• SGLang, vLLM, Ollama, OpenWebUI
• NVIDIA Triton Inference Server, NVIDIA NIM, NVIDIA NeMo, TensorRT
• CUDA, cuBLAS, cuDNN, NCCL (multi-GPU)
• Hugging Face Transformers, LangChain, LlamaIndex
• Model quantization: GGUF, AWQ, GPTQ
• Fine-tuning: LoRA / QLoRA
• LLM architecture: transformers, attention mechanisms, KV cache
• RAG pipelines, embeddings, and vector search
• Agent frameworks: function calling, tool use
• RLHF, DPO, and SFT concepts
• Multimodal models (vision + text)
• Model benchmarking: MMLU, HumanEval, MT-Bench
• AI safety, output filtering, and prompt engineering

Linux & Systems

• Linux (Ubuntu / RHEL / SLES), Bash, systemd
• Networking fundamentals: iptables, VLAN, BGP
• SELinux / AppArmor

Languages & Frameworks

• Python, JavaScript / TypeScript, React
• FastAPI / Flask, Node.js
• REST, WebSocket, and SSE APIs
• SQL (PostgreSQL / SQLite), Redis
• Vector databases: Milvus, Qdrant, pgvector

DevOps / CI/CD & Infrastructure

• Kubernetes (k8s), k3s, RKE2, Helm, Kustomize
• Rancher, ArgoCD, Flux CD
• Docker / Podman, container registries
• Ingress-NGINX / Traefik, cert-manager, MetalLB
• GitHub Actions, GitLab CI, Jenkins
• Terraform, Pulumi, Ansible
• Prometheus, Grafana, OpenTelemetry, ELK Stack
• Vault (secrets management)

NICE TO HAVE

• Multi-node tensor parallelism and pipeline parallelism
• Experience deploying AI in air-gapped or classified environments
• Open-source contributions to AI or inference tooling
• Distributed systems background (Raft, consensus, replication)
• Rust or Go for high-performance tooling
• Active DoD security clearance

Why USAA?

At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the choice for the military community and their families.

Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful.

The Opportunity

We are seeking a credentialed actuary to join our Property Loss Reserving and Reserving Development team. This Actuary will leverage advanced knowledge of Loss Reserving techniques and Claims Analytics insights to explain drivers of loss trends.

This role is remote eligible in the continental U.S. with occasional business travel. However, individuals residing within a 60-mile radius of a USAA office will be expected to work on-site four days per week.

What you’ll do:

• Applies advanced actuarial knowledge to complete broad and complex projects (e.g., evaluates and selects methodology to price new discount/endorsement for countrywide rollout; develops alternative methodologies to comply with complex regulatory requirements; selects metrics and designs processes to monitor model performance; translates business problems into technical requirements and performs required analysis to develop solutions; independently runs catastrophe models and interprets and communicates results to support critical business activities, while enhancing the control environment as needed.
• Utilizes advanced actuarial, mathematical, or statistical techniques to augment actuarial work product.
• Leads special actuarial projects, such as the development of new methodologies or reporting tools.
• Trains new team members on the theory and mechanics of relevant actuarial methodologies.
• Applies deep understanding of products supported, stakeholders’ needs, and industry trends to solve unstructured business problems.
• Identifies and anticipates compliance gaps and process improvements; recommends and develops solutions to mitigate risk.
• Represents Actuary in cross-functional efforts.
• Develops written communication and presentations that effectively convey data-driven solutions to broad audiences, including cross-functional executive leadership.
• Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures.

What you have:

• Bachelor’s degree; OR 4 years of related Actuarial/business/analytical experience (in addition to the minimum years of experience required) may be substituted in lieu of degree.
• 4 years of Actuarial or analytical business experience.
• Associate of the Casualty Actuarial Society (ACAS) Credential.
• Demonstrated advanced skills with relevant actuarial, mathematical, and statistical techniques and approaches used to support fact-based decision-making.
• Advanced knowledge of data analysis tools, data visualization, developing analysis queries and procedures in Python, R, SQL, SAS, BI tools or other analysis software, and relevant industry data & methods and ability to connect external insights to business problems.
• Demonstrated experience communicating complex solutions and analysis to both technical and nontechnical audiences, including executive leadership.

What sets you apart:

• Experience performing Loss Reserve analysis and working in Loss Reserving software (i.e. ResQ, Arius etc.).
• US military experience through military service or a military spouse/domestic partner

Compensation range: The salary range for this position is: $127,310 - $229,160.

USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.).

Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location.

Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors.

The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job.

Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals.

For more details on our outstanding benefits, visit our benefits page on

Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting.

USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

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RELOCATION ASSISTANCE: Relocation assistance may be available

CLEARANCE TYPE: Secret

TRAVEL: Yes, 10% of the Time

Description

At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people’s lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation’s history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they’re making history.

Northrop Grumman Mission Systems is a trusted provider of mission-enabling solutions for global security. Our Engineering and Sciences (E&S) organization pushes the boundaries of innovation, redefines engineering capabilities, and drives advances in various sciences. Our team is chartered with providing the skills, innovative technologies to develop, design, produce and sustain optimized product lines across the sector while providing a decisive advantage to the warfighter. Come be a part of our mission!

Northrop Grumman Mission Systems is seeking a Data Analytics Engineer Level 5 to support the development and ongoing support of world-class US Navy machinery (turbines, generators, motors, and other system components based out of Sunnyvale, CA. In this role, you will leverage data to drive decision-making within engineering, and production processes. Your work will involve analyzing complex data sets, developing insights to improve manufacturing efficiency and quality, and collaborating with cross-functional teams to enhance production and design capabilities. If you are passionate about using data to improve manufacturing processes and enhance engineering outcomes, join our team and contribute to critical national defense projects.

What You’ll get to Do:

• Use classical analysis techniques to establish an understanding of machinery acoustic performance and resolve issues.
• Develop a variety of component and system level predictive / simulation models.
• Perform modal, vibration, modal, direct frequency response, and sound transmission analyses to predict performance and resolve issues.
• Gather data from tests, and analyze the results.
• Correlate model predictions to test data to validate the approach / model.
• Work closely with cross-function internal and customer teams.
• Prepare technical reports and presentations summarizing findings and recommendations for internal and external stakeholders.

Basic Qualifications for Data Analytics Engineer level 5:

• Bachelor’s Degree in STEM (Science, Technology, Engineering or Math) discipline with 12 years relevant work experience; or Master’s Degree in STEM (Science, Technology, Engineering or Math) discipline with 10 years relevant work experience; or Ph.D in STEM (Science, Technology, Engineering or Math) with 7 years of relevant work experience.
• Experience with simulation software tools: Hypermesh, Nastran, Abaqus, MATLAB (or similar)
• Must be a US citizen.
• Ability to obtain and maintain a Secret Clearance.

Preferred Qualifications:

• Experience in developing system-level finite element models.
• Experience in performing a classical and finite element analysis solution types.
• Experience collecting and analyzing large data sets.

Primary Level Salary Range: $177,000.00 - $265,600.00

The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate’s experience, education, skills and current market conditions.

Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business.

The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates.

Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit http://www.northropgrumman.com/EEO. U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.

Our Purpose

Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.

Title and Summary

Senior Software Engineer

The AI & DPE organization powers the DMP platform—a cloud native, real time decisioning and AI inferencing system that executes Fraud Rules, drives analytics, and supports enterprise decision management at global scale. DMP enables high throughput, low latency, and resilient decision flows, while modernizing Fraud Rule Engines and integrating advanced AI capabilities.
The Senior Software Engineer will follow solution architectural designs for Fraud Rules Engines and be a hands-on Rule Author. This role is a driving force for implementation best practices, bringing strong experience writing rules and deep capability in Fraud Rule Engines. The ideal candidate is a hands-on technical expert with proven experience in large scale migrations and a strong commitment to timely delivery of key objectives. This role requires experience with Fraud Rules Engines, multiple programming languages, and AI experience, with success producing high quality project design deliverables and documentation.

Role Responsibilities:
• Proven experience in the modernization of platforms related to Fraud Rules/Engines and large-scale migrations.
• Build and operate scalable global platforms with high throughput, low latency, and 5 9’s availability.
• Serve as a hands-on Rule Author with deep experience in Fraud Rules Engines.
• Apply familiarity with AI technologies like Gen AI and LLMs relevant to Fraud Rules.
• Follow solution architectural designs and ensure alignment with business needs, infrastructure capabilities, and security and compliance requirements.
• Drive implementation best practices, with strong capability in writing rules and improving rule quality.
• Utilize programming languages such as Java, Python, or Go.
• Act as a force multiplier for automation and platform enhancements.

All About You:
• Hands-on software development experience; familiar with DevOps and IT Operations best practices.
• Experience with Fraud Rule Engines and proven experience in large-scale migrations.
• Working experience across multiple programming languages and frameworks; enjoys declarative paradigms and functional programming.
• High-energy, detail-oriented, proactive, and able to function independently under pressure.
• Passion for continuous learning and challenging opportunities.
• Strong communication skills—verbal and written—with strong relationship building, collaboration, and organizational skills.
• Drives outcomes through strong commitment to timely delivery of key objectives.
• Strong decision making skills and a continual improvement mindset.
• Solid experience with software development processes and one or more Application Lifecycle Management tools.
• Financial Domain experience, preferably Banking Domain.
• Success producing high quality project design deliverables and documentation.
• Extensive experience with relational and NoSQL databases.
• Understanding of loosely coupled and stateless systems.
• Demonstrated track record with AI.
• Familiarity with performance tuning and automation.
• Bachelor’s degree in Information Technology or Computer Science (or extensive equivalent experience).

Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact reasonable_accommodation@mastercard.com and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly.

Corporate Security Responsibility

• Abide by Mastercard’s security policies and practices;
• Ensure the confidentiality and integrity of the information being accessed;
• Report any suspected information security violation or breach, and
• Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.

In line with Mastercard’s total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary and may be eligible for an annual bonus or commissions depending on the role. The base salary offered may vary depending on multiple factors, including but not limited to location, job-related knowledge, skills, and experience. Mastercard benefits for full time (and certain part time) employees generally include: insurance (including medical, prescription drug, dental, vision, disability, life insurance); flexible spending account and health savings account; paid leaves (including 16 weeks of new parent leave and up to 20 days of bereavement leave); 80 hours of Paid Sick and Safe Time, 25 days of vacation time and 5 personal days, pro-rated based on date of hire; 10 annual paid U.S. observed holidays; 401k with a best-in-class company match; deferred compensation for eligible roles; fitness reimbursement or on-site fitness facilities; eligibility for tuition reimbursement; and many more. Mastercard benefits for interns generally include: 56 hours of Paid Sick and Safe Time; jury duty leave; and on-site fitness facilities in some locations.

Pay Ranges

O’Fallon, Missouri: $115,000 - $184,000 USD

Our Purpose

Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.

Title and Summary

Senior Software Engineer (Artificial Intelligence and Decision Product Enablement Program)

Overview

Mastercard is a global technology leader in payments, operating the world’s fastest and most secure payment processing network. We connect consumers, financial institutions, merchants, and governments across 210+ countries and territories—enabling frictionless, secure, and efficient commerce experiences.

Join Mastercard’s award-winning Artificial Intelligence and Decision Product Enablement (AI & DPE) program as a full-stack Senior Software Engineer on the Clearing Decisioning team. In this role, you’ll work on a high-performance, real-time Artificial Intelligence (AI) and decisioning platform that leverages advanced AI solutions and processes hundreds of thousands of transactions every second --ensuring payment security at a global scale.

You will:

· Design, develop, and maintain high throughput and low latency decisioning platform at scale.

· Design and execute comprehensive testing strategies with a strong focus on automation.

· Apply engineering discipline: clean code, peer reviews, automation, and CI/CD-friendly delivery.

If you thrive in a fast-paced environment and are passionate about delivering excellence, join us and help shape the future of secure, intelligent payments.
Location: St. Louis, Missouri (three onsite days per week)

Required Skills

· Demonstrates strong ownership with the ability to learn and adapt quickly, independently resolving technical blockers and delivering features end to end.

· Communicate clearly and proactively, collaborating effectively with engineers, product, and business operations teams to deliver high quality solutions.

· Solid understanding of service- and platform-level system design and experience with open frameworks (e.g. Spring Boot) and common design patterns.

· Strong software engineering fundamentals with hands-on development experience designing, building and maintaining production grade systems.

o Expertise in Java, Spring, gRPC and backend service development for high performance, scalable applications
o Experience with CI/CD pipelines (Jenkins), Docker, Kubernetes, and container orchestration.

o Familiarity with cloud platforms (AWS/Azure)

o Experience with relational databases (Oracle) and queuing technologies such as MQ and Kafka

o Strong background in software quality assurance, with hands-on experience using testing frameworks such as JUnit and TestNG.

o Experience with modern development practices (Agile, CI/CD, automated testing, code reviews).
· Experience with secure coding standards (e.g., OWASP, CWE, SEI CERT) and vulnerability managemnt

Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact reasonable_accommodation@mastercard.com and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly.

Corporate Security Responsibility

• Abide by Mastercard’s security policies and practices;
• Ensure the confidentiality and integrity of the information being accessed;
• Report any suspected information security violation or breach, and
• Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.

In line with Mastercard’s total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary and may be eligible for an annual bonus or commissions depending on the role. The base salary offered may vary depending on multiple factors, including but not limited to location, job-related knowledge, skills, and experience. Mastercard benefits for full time (and certain part time) employees generally include: insurance (including medical, prescription drug, dental, vision, disability, life insurance); flexible spending account and health savings account; paid leaves (including 16 weeks of new parent leave and up to 20 days of bereavement leave); 80 hours of Paid Sick and Safe Time, 25 days of vacation time and 5 personal days, pro-rated based on date of hire; 10 annual paid U.S. observed holidays; 401k with a best-in-class company match; deferred compensation for eligible roles; fitness reimbursement or on-site fitness facilities; eligibility for tuition reimbursement; and many more. Mastercard benefits for interns generally include: 56 hours of Paid Sick and Safe Time; jury duty leave; and on-site fitness facilities in some locations.

Pay Ranges

O’Fallon, Missouri: $115,000 - $184,000 USD

Description

Are you passionate about applying your talents to address the difficult challenges facing our warfighters such as Operationalizing Artificial Intelligence to support Achieving Robust Homeland Defense, Accelerating Warfighting Capabilities in INDOPACOM, or Enhancing Space Superiority?

Do you love to enable warfighters with the latest in Artificial Intelligence (AI) and Software capabilities?

Are you passionate about defining the path forward for our military to use AI technology?

If so, we’re looking for someone like you to join our team at APL.

In A5C, we develop and deliver highly capable mission planning capabilities into the hands of the warfighter so they can design defenses that enhance performance across multiple simultaneous air and missile defense missions, multiple services, and multiple command echelon planning levels.

We are seeking an engineer specializing in software and has a passion for AI applications to work in our highly-motivated teams. This person will help us define the best ways to use new technologies to support mission planning. We need someone who can quickly learn innovative tools and practices. They should have a vision for how to apply them efficiently to support real-world scenarios. Our focus is making sure that the warfighter is given the best planning capabilities possible to design defenses for themselves and our allies.

As a Software Engineer and AI Practitioner, your tasks will include

• Evolving air and missile defense planning tools and capabilities,
• Developing and implementing robust software solutions to complex planning challenges,
• Responding to feedback from the warfighter and the analyst community,
• Assessing new AI and Machine Learning tools and capabilities and their applicability to military planning, and
• Working with leaders in Air and Missile Defense to shape the adoption of AI/ML into existing warfighting capabilities.

Qualifications

You meet our minimum qualifications for the job if you…

• Possess a BS in Computer Science, Computer Engineering, Mathematics, or other related engineering fields.
• Have 5+ years of experience working with Python, C++, or other similar programming languages.
• Have 2+ years of experience applying AI/ML to real-world problems.
• Are skilled in rapidly implementing novel solutions and evaluating their efficacy.
• Desire to be part of team with a wide-ranging assembly of scientists and engineers to solve new engineering challenges.
• Have experience leading projects.
• Demonstrate strong organizational abilities.
• Demonstrate excellent written, oral, and social skills when collaborating with team members, sponsors, and users.
• Are willing to meet and interact with military warfighters to discover their needs and desires.
• Are able to obtain an Interim Secret level security clearance by your start date and can ultimately obtain a Secret level clearance. If selected, you will be subject to a government security clearance investigation and must meet the requirements for access to classified information. Eligibility requirements include U.S. citizenship.

You’ll go above and beyond our minimum requirements if you…

• Possess an advanced degree or equivalent experience in Computer Science, Computer Engineering, Mathematics, or other related engineering fields.
• Have experience applying AI/ML to decision-making processes.
• Have experience developing with agentic AI systems.
• Have experience delivering software to external partners in a rapid fashion.
• Have demonstrated a passion for applying new tools and methodologies to existing challenges.
• Demonstrate the ability to work in a fast paced environment while crafting high quality software.
• Have experience interacting with and understanding end user needs to support solution development.
• Possess a working knowledge of some U.S. military organization and systems for the U. S. Navy, Army, Air Force, or Space Force.
• Already possess at least a Final Secret security clearance.

About Us

Why Work at APL?

The Johns Hopkins University Applied Physics Laboratory (APL) brings world-class expertise to our nation’s most critical defense, security, space and science challenges. While we are dedicated to solving complex challenges and pioneering new technologies, what makes us truly outstanding is our culture. We offer a vibrant, welcoming atmosphere where you can bring your authentic self to work, continue to grow, and build strong connections with inspiring teammates.

At APL, we celebrate our differences of perspectives and encourage creativity and bold, new ideas. Our employees enjoy generous benefits, including a robust education assistance program, unparalleled retirement contributions, and a healthy work/life balance. APL’s campus is located in the Baltimore-Washington metro area. Learn more about our career opportunities at http://www.jhuapl.edu/careers.

All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, genetic information, veteran status, occupation, marital or familial status, political opinion, personal appearance, or any other characteristic protected by applicable law. APL is committed to providing reasonable accommodation to individuals of all abilities, including those with disabilities. If you require a reasonable accommodation to participate in any part of the hiring process, please contact Accommodations@jhuapl.edu.

The referenced pay range is based on JHU APL’s good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level with consideration for internal parity. For salaried employees scheduled to work less than 40 hours per week, annual salary will be prorated based on the number of hours worked. APL may offer bonuses or other forms of compensation per internal policy and/or contractual designation. Additional compensation may be provided in the form of a sign-on bonus, relocation benefits, locality allowance or discretionary payments for exceptional performance. APL provides eligible staff with a comprehensive benefits package including retirement plans, paid time off, medical, dental, vision, life insurance, short-term disability, long-term disability, flexible spending accounts, education assistance, and training and development. Applications are accepted on a rolling basis.

Minimum Rate

$105,000 Annually

Maximum Rate

$290,000 Annually

Description

Are you passionate about applying your analytical skills to help defend our nation against air and missile threats?

Are you looking to work in a challenging, collaborative, and rewarding environment?

If so, we 're looking for someone like you to join our team at APL!

We are seeking a highly motivated Systems Analyst to support combat system performance analysis studies. You will be joining a hardworking team of engineers who are passionate about providing high-impact analysis solutions to support our warfighters. Our team is committed to taking on challenging problems with technical excellence and we strive to foster an environment of collaboration, innovation, and sustained professional growth.

As a Systems Analyst…

• You will analyze Weapon Control System (WCS) Modeling & Simulation (M&S) results to evaluate system performance in support of fleet studies, flight test events, and system engineering studies. You will characterize system capabilities and limitations, identify trends and outliers, and perform root cause analysis.
• You will contribute to WCS analysis efforts by reviewing requirements, assessing system design, and evaluating algorithms.
• You will support concept and feasibility studies to assist in the development of future combat system capabilities and requirements.
• You will develop tools in Python and MATLAB to analyze combat system performance and visualize data in innovative ways.
• You will produce documentation on system requirements, system design, technical recommendations, and analysis results.
• You will deliver presentations to technical staff, program leadership, and Sponsors.

Qualifications

You meet our minimum qualifications for the job if you…

• Have a BS degree in Computer Science, Computer Engineering, Mathematics, Electrical Engineering, Physics, or related technical field.
• Have 3+ years of related professional experience.
• Are proficient with MATLAB and/or Python.
• Are detail-oriented with strong analytical and problem-solving skills.
• Are highly self-motivated to dig into data to root cause issues and to understand system performance.
• Have strong technical written and oral communication skills.
• Have the ability to work both independently and as part of a larger team, as well as effective collaboration skills with other teams and contractors.
• Willingness to travel up to 5% of the time as needed.
• Are able to obtain Interim Secret level security clearance by your start date and can ultimately obtain Secret level clearance. If selected, you will be subject to a government security clearance investigation and must meet the requirements for access to classified information. Eligibility requirements include U.S. citizenship.

You 'll go above and beyond our minimum requirements if you…

• Have an MS degree in Computer Science, Computer Engineering, Mathematics, Electrical Engineering, Physics, or related technical field.
• Have 5+ years of related professional experience.
• Have proficiency with Python data science libraries (e.g. NumPy, Pandas).
• Have experience in requirements analysis, design, and concept development.
• Are familiar with developing object-oriented C++ software in a Linux environment.
• Are familiar with software revision control systems (e.g. git).
• Are familiar with the Atlassian tool suite (e.g. Confluence, JIRA, Bitbucket, Bamboo).
• Have strong interpersonal and communications skills with a desire to take on leadership roles for analysis studies.
• Have a working knowledge of the Aegis Weapon System and/or Weapon Control System.

#LI-KW1

About Us

Why Work at APL?

The Johns Hopkins University Applied Physics Laboratory (APL) brings world-class expertise to our nation’s most critical defense, security, space and science challenges. While we are dedicated to solving complex challenges and pioneering new technologies, what makes us truly outstanding is our culture. We offer a vibrant, welcoming atmosphere where you can bring your authentic self to work, continue to grow, and build strong connections with inspiring teammates.

At APL, we celebrate our differences of perspectives and encourage creativity and bold, new ideas. Our employees enjoy generous benefits, including a robust education assistance program, unparalleled retirement contributions, and a healthy work/life balance. APL’s campus is located in the Baltimore-Washington metro area. Learn more about our career opportunities at http://www.jhuapl.edu/careers.

All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, genetic information, veteran status, occupation, marital or familial status, political opinion, personal appearance, or any other characteristic protected by applicable law. APL is committed to providing reasonable accommodation to individuals of all abilities, including those with disabilities. If you require a reasonable accommodation to participate in any part of the hiring process, please contact Accommodations@jhuapl.edu.

The referenced pay range is based on JHU APL’s good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level with consideration for internal parity. For salaried employees scheduled to work less than 40 hours per week, annual salary will be prorated based on the number of hours worked. APL may offer bonuses or other forms of compensation per internal policy and/or contractual designation. Additional compensation may be provided in the form of a sign-on bonus, relocation benefits, locality allowance or discretionary payments for exceptional performance. APL provides eligible staff with a comprehensive benefits package including retirement plans, paid time off, medical, dental, vision, life insurance, short-term disability, long-term disability, flexible spending accounts, education assistance, and training and development. Applications are accepted on a rolling basis.

Minimum Rate

$100,000 Annually

Maximum Rate

$245,000 Annually

Description

Are you interested in applying your signal processing experience to reverse engineer systems that communicate wirelessly?

Do you love working on a multi-disciplinary set of problems and delivering new capabilities that are deployed in the real world?

If so, we want you to join our group of offensive cyber experts! We seek tenacious self-starters who will develop their technical skills in service of inventive capabilities and novel RF solutions. We work in a dynamic, mission driven environment that has real world impact. Our work environment offers many opportunities for collaboration, and in our culture, we celebrate curiosity.

As a Reverse Engineer for RF Systems, you will…

• Reverse engineer the software, firmware, and hardware that comprise target systems for understanding wireless behavior
• Develop prototypes of novel signal processing approaches
• Work in teams to modify device firmware and software to communicate in alternative ways
• Operationalize developed code by thoroughly testing, documenting, and integrating with sponsor systems
• Propose promising ideas for internal and external funding opportunities
• Share and enhance knowledge by clearly articulating ideas through papers and presentations to government decision makers, team members, and senior management

Qualifications

You meet our minimum qualifications for the job if you…

• Possess a Bachelor’s in Computer Science, Electrical Engineering, Computer Engineering, or other degree relevant to the duties as described above
• Have at least 3 years of experience writing assembly language, C, or C++ code that runs directly on embedded systems or integrates with real-time operating systems (RTOSes)
• Have experience with protocol reverse engineering and complex communication systems
• Have extensive experience with digital signal processing algorithms and are capable of (and excited by!) hypothesizing, prototyping, and extracting data from waveforms
• Are an outstanding communicator in both written and verbal forms
• Are able to acquire a Secret level security clearance by your start date and can ultimately acquire a TS/SCI level clearance. If selected, you will be subject to a government security clearance investigation and must meet the requirements for access to classified information. Eligibility requirements include U.S. citizenship.

You’ll go above and beyond our minimum requirements if you…

• Have a Master’s or Ph.D. in Computer Science, Electrical Engineering, Computer Engineering, or related field
• Have 6+ years of relevant experience
• Have experience with VHDL, Verilog, or other FPGA development languages
• Have developed novel concepts based on analyzing wireless systems
• Have experience with field testing or leading technical teams
• Hold an active TS/SCI security clearance

#LI-AG1

About Us

Why Work at APL?

The Johns Hopkins University Applied Physics Laboratory (APL) brings world-class expertise to our nation’s most critical defense, security, space and science challenges. While we are dedicated to solving complex challenges and pioneering new technologies, what makes us truly outstanding is our culture. We offer a vibrant, welcoming atmosphere where you can bring your authentic self to work, continue to grow, and build strong connections with inspiring teammates.

At APL, we celebrate our differences of perspectives and encourage creativity and bold, new ideas. Our employees enjoy generous benefits, including a robust education assistance program, unparalleled retirement contributions, and a healthy work/life balance. APL’s campus is located in the Baltimore-Washington metro area. Learn more about our career opportunities at http://www.jhuapl.edu/careers.

All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, genetic information, veteran status, occupation, marital or familial status, political opinion, personal appearance, or any other characteristic protected by applicable law. APL is committed to providing reasonable accommodation to individuals of all abilities, including those with disabilities. If you require a reasonable accommodation to participate in any part of the hiring process, please contact Accommodations@jhuapl.edu.

The referenced pay range is based on JHU APL’s good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level with consideration for internal parity. For salaried employees scheduled to work less than 40 hours per week, annual salary will be prorated based on the number of hours worked. APL may offer bonuses or other forms of compensation per internal policy and/or contractual designation. Additional compensation may be provided in the form of a sign-on bonus, relocation benefits, locality allowance or discretionary payments for exceptional performance. APL provides eligible staff with a comprehensive benefits package including retirement plans, paid time off, medical, dental, vision, life insurance, short-term disability, long-term disability, flexible spending accounts, education assistance, and training and development. Applications are accepted on a rolling basis.

Minimum Rate

$100,000 Annually

Maximum Rate

$245,000 Annually

Description

Are you curious how the cyber-physical data produced by humans and devices reveal hidden stories about their activity?

Are you excited by the challenge of turning massive, messy, and highly disparate real-world data into actionable insights?

Are you searching for meaningful work where your tools and ideas have a direct impact on national security?

If so, we’re looking for someone like you to join our team at APL.

The Cyber-Physical Systems Development Group (QNN) at APL is seeking a Multimodal Data Analytics Engineer to develop and deploy novel data analytic capabilities to our sponsors in support of this mission. QNN is a multi-disciplinary team of scientists and engineers seeking to empower U.S. defense and intelligence operators with unmatched access and situational awareness in any operational environment.  We develop, analyze, and evaluate systems that employ a range of analytical techniques, including as machine learning and artificial intelligence (AI/ML), to extract insight from disparate data sets such as commercial telemetry data, video content, and computer network traffic.

As a Multimodal Data Analytics Engineer

• Conceive, design, and refine analytical approaches that transform complex, multimodal data into meaningful insights.
• Build robust, mission-focused software tools that operationalize these analytical techniques for research, demonstration, and operational applications.
• Mentor and develop junior staff, providing guidance in both technical execution and professional growth.
• Identify emerging mission needs and propose innovative capabilities and concepts to sponsors.
• Clearly document methods and results, and effectively present findings to stakeholders within the lab and across the broader technical community.

Qualifications

You meet our minimum qualifications for the job if you…

• Possess a Bachelor’s Degree in Computer Science, Data Science/Engineering, Computer Engineering, Artificial Intelligence/Machine Learning, or another field relevant to the duties as described above.
• Have at least 7 years of relevant experience in analytical tool development using a variety of techniques including AI/ML methods.
• Have demonstrated ability to develop high-quality software solutions that are accurate, efficient, reliable, maintainable, and scalable.
• Possess strong knowledge of data engineering fundamentals, including data ingestion, cleaning, transformation, storage, fusion, and visualization.
• Have experience with professional software development practices, including version control, testing, code review, and modular design.
• Have strong technical writing, presentation, and communication skills for reports, proposals, technical presentations, and interaction with sponsors.
• Are able to obtain an Interim Top Secret level security clearance by your start date and can ultimately obtain a TS/SCI level clearance. If selected, you will be subject to a government security clearance investigation and must meet the requirements for access to classified information. Eligibility requirements include U.S. citizenship.

You’ll go above and beyond our minimum requirements if you…

• A Master’s or a PhD in a relevant technical field.
• Experience processing relevant data types such as: video, imagery, audio, mobility data, network data, financial transactions, text records/documents, etc.
• Experience with C, C++, and/or Python and open data analysis packages such as Pandas, GeoPandas, OpenCV, Scapy, Zeek, TensorFlow, LangChain, etc.
• Experience with a variety of data storage and retrieval methods such as SQL, NoSQL, object storage, knowledge graphs, Parquet, etc.
• Experience with containerization tools (e.g., Docker, Kubernetes).
• Experience with cloud platforms (e.g., AWS, GCP, Azure) and cloud/distributed software architectures.

About Us

Why Work at APL?

The Johns Hopkins University Applied Physics Laboratory (APL) brings world-class expertise to our nation’s most critical defense, security, space and science challenges. While we are dedicated to solving complex challenges and pioneering new technologies, what makes us truly outstanding is our culture. We offer a vibrant, welcoming atmosphere where you can bring your authentic self to work, continue to grow, and build strong connections with inspiring teammates.

At APL, we celebrate our differences of perspectives and encourage creativity and bold, new ideas. Our employees enjoy generous benefits, including a robust education assistance program, unparalleled retirement contributions, and a healthy work/life balance. APL’s campus is located in the Baltimore-Washington metro area. Learn more about our career opportunities at http://www.jhuapl.edu/careers.

All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, genetic information, veteran status, occupation, marital or familial status, political opinion, personal appearance, or any other characteristic protected by applicable law. APL is committed to providing reasonable accommodation to individuals of all abilities, including those with disabilities. If you require a reasonable accommodation to participate in any part of the hiring process, please contact Accommodations@jhuapl.edu.

The referenced pay range is based on JHU APL’s good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level with consideration for internal parity. For salaried employees scheduled to work less than 40 hours per week, annual salary will be prorated based on the number of hours worked. APL may offer bonuses or other forms of compensation per internal policy and/or contractual designation. Additional compensation may be provided in the form of a sign-on bonus, relocation benefits, locality allowance or discretionary payments for exceptional performance. APL provides eligible staff with a comprehensive benefits package including retirement plans, paid time off, medical, dental, vision, life insurance, short-term disability, long-term disability, flexible spending accounts, education assistance, and training and development. Applications are accepted on a rolling basis.

Minimum Rate

$105,000 Annually

Maximum Rate

$245,000 Annually

Application Deadline:

04/26/2026

Address:

180 Montgomery St.

Job Family Group:

Data Analytics & Reporting

This is a hybrid role

Role Overview

We are looking for a Senior Data Scientist with a strong can‑do mindset, proven ability to ship production‑grade models, and passion for solving ambiguous business challenges. This role blends deep technical expertise with business acumen, product thinking, and strong storytelling skills. You will drive end‑to‑end delivery of Data & AI solutions—from problem framing and data acquisition to model development, deployment, and ongoing optimization—while influencing stakeholders across the organization.

Key Responsibilities

Model Development & Delivery

• Apply advanced analytics, machine learning, deep learning, and AI methodologies to build predictive models and intelligent automation systems that deliver measurable business impact.
• Own the full model lifecycle: data exploration, modeling, validation, deployment, monitoring, and continual improvement.
• Diagnose and resolve model performance issues; implement scalable, reliable processes for ongoing model operations.
• Use strong programming skills to prepare complex datasets (structured, semi‑structured, unstructured) and build reproducible pipelines.

Business Impact & Storytelling

• Translate complex analytical findings into clear, actionable insights that influence decision‑making at all levels.
• Present recommendations in a compelling narrative that resonates with both technical and non‑technical stakeholders.
• Lead discovery sessions to clarify business needs, define success metrics, and design analytical approaches that support business strategy.

Innovation & Best Practices

• Drive innovation in Data & AI through new techniques, experimentation frameworks, and reusable analytical assets.
• Establish and promote best practices in model development, MLOps, governance, and data quality.
• Stay current on emerging trends, regulations, and technologies; provide guidance on how to leverage them within the organization.

Leadership & Collaboration

• Serve as a subject matter expert for stakeholders across the enterprise.
• Partner with cross‑functional teams—including Engineering, Product, and Business—to deliver solutions that scale.
• Lead or contribute to strategic initiatives, roadmaps, and business cases that support the organization’s data and AI vision.
• Mentor and guide other data scientists; contribute to internal training, tools, and knowledge‑sharing.

Execution & Change Leadership

• Manage complex, ambiguous problems by structuring analytical approaches and selecting appropriate modeling techniques.
• Lead change management and communication efforts associated with analytics initiatives.
• Implement processes and controls that ensure high‑quality, consistent delivery of analytical work.

Qualifications

• 7+ years of relevant experience in data science, machine learning, or applied analytics.
• Advanced degree (PhD preferred) in Computer Science, Engineering, Statistics, Mathematics, Physics, or related quantitative field—or equivalent experience.
• Proven track record of shipping models to production and maintaining them at scale.
• Expertise in machine learning and deep learning algorithms and frameworks.
• Proficiency in Python and SQL; experience with R, SAS, or other analytical tools is a plus.
• Experience with distributed computing technologies (Hive, Hadoop, Spark) and cloud ML platforms (AWS SageMaker, Azure ML, etc.).
• Strong communication, storytelling, and influence skills; able to drive alignment across diverse groups.
• Demonstrated ability to operate in ambiguity, make data-driven decisions, and solve complex, open-ended problems.
• Experienced collaborator with deep cross-functional partnership skills and ownership mindset.

Salary:

$122,400.00 - $228,000.00

Pay Type:

Salaried

The above represents BMO Financial Group’s pay range and type.

Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position.

BMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards

About Us

At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact.  We strive to help you make an impact from day one – for yourself and our customers.  We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

To find out more visit us at http://jobs.bmo.com/us/en

BMO is proud to be an equal employment opportunity employer. We evaluate applicants without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other legally protected characteristics. We also consider applicants with criminal histories, consistent with applicable federal, state and local law.

BMO is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to BMOCareers.Support@bmo.com and let us know the nature of your request and your contact information.

Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

Application Deadline:

04/29/2026

Address:

151 W 42nd Street

Job Family Group:

Capital Mrkts Sales & Service

BMO Capital Markets is a leading, full-service financial services provider. We offer corporate and investment banking, treasury management, as well as research and advisory services to clients around the world. #bmocapitalmarkets

Join the Quantitative Engineering team at BMO Global Markets and take your skills to the next level! As a Quantitative Engineer, you will have the opportunity to work on the bank derivatives source system, playing a critical role in programming and supporting analytics, and building the future. Collaborate closely with our trading desks, quants, and downstream groups, and contribute to automating, testing, and monitoring tools.

Key Responsibilities:

• Programming and Support:

  • Develop, program, and maintain analytics within the bank derivatives source system.
  • Provide booking and diagnostic support for integrated models.

• Automation and Improvement:

  • Collaborate with teammates to automate release, testing, and monitoring tools.
  • Enhance system robustness and capabilities alongside your team.

• Stakeholder Collaboration:

  • Work closely with trading desks and quantitative analysts on valuation and downstream feeds.
  • Ensure accurate capture of information by collaborating with downstream groups.

Qualifications:

Required:

• A university degree in a technical field such as mathematics, physics, engineering, or statistics.
• Solid knowledge of a C-family language (C#, C++, Java, etc.).
• Experience with scripting languages.
• Familiarity with numerical analysis in a relevant field.

Desirable:

• Familiarity with equities and/or equity derivatives trading is helpful.
• Experience working on large code bases and familiarity with design patterns.
• Experience with databases.
• Experience with distributed computing.
• Expert-level knowledge in C++ or C#.
• Experience with financial models.

Salary:

$260,000 USD

Salary:

Pay Type:

Salaried

The above represents BMO Financial Group’s pay range and type.

Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position.

BMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards

About Us

At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact.  We strive to help you make an impact from day one – for yourself and our customers.  We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

To find out more visit us at http://jobs.bmo.com/us/en

BMO is proud to be an equal employment opportunity employer. We evaluate applicants without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other legally protected characteristics. We also consider applicants with criminal histories, consistent with applicable federal, state and local law.

BMO is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to BMOCareers.Support@bmo.com and let us know the nature of your request and your contact information.

Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

US-CA-Irvine

Job ID: 34091
Type: Full-Time

of Openings: 1

Category: Intern/Trainee
CUSA Western Regional Office

About the Role

2026 Canon Insights Summer Internship

Canon, U. S. A., Inc. is currently hiring for our 2026 Canon Insights Internship Program. The program
will be held from Monday, June 1, 2026 - Wednesday, August 5, 2026.

Canon is an innovative global digital imaging leader that uses technology to dissolve the barriers we face in the connections we build, the experiences we create, and even the lives we live. We are looking for passionate and experienced students to join the Canon USA team. This is a paid summer 10-12 week internship for a robust experience based in our Irvine, CA.

What You’ll Do:

• You will have the opportunity to gain hands-on work experience by participating in significant work projects that help you learn, develop business skills, and provide a meaningful contribution to Canon’s business and goals.
• You will be exposed to world-class teams and our business, marketing, and strategy initiatives through training, meetings, presentations, and other planned activities.
• You’ll gain marketable skills and knowledge that you’ll need in transitioning into the workforce.
• You’ll come to the office 3 days a week and 2 days with the option to work from home (unless a specific business need arises requiring in-office attendance on other days). This position offers a hybrid work schedule on full-time (9 AM - 5 PM) schedule based on a 35-hour work week. Note that work schedules and office reporting requirements may change from time to time based on business needs.

Perks & Benefits:

• A beautiful facility in Irvine, CA.
• Free coffee.
• “Dress for Your Day” attire program - Casual dress, including jeans is permitted!
• A dedicated peer buddy who will serve as a mentor during your internship experience.
• Learning and professional development opportunities.
• Opportunity to network with top-level Canon business leaders.
• A chance to be featured on Canon’s social media sites.
• Swag! A Canon welcome kit and official merch you can’t get anywhere else.

Award-Winning Culture:
Canon has a unique culture and is committed to our core values of integrity, mutual respect, fairness, and communication. Our corporate philosophy is Kyosei - which we define as “all people, regardless of race, religion, or culture, harmoniously living and working together into the future.” This is reflected in our welcoming, respectful, and family-oriented atmosphere with a strong focus on diversity & inclusion, work-life balance, and community and environmental initiatives

Your Impact

The 2026 Canon Insights Summer Internship - Intern will be responsible for the following:

This program is designed to provide undergraduate students with an opportunity to gain hands-on work experience by participating in significant work projects, training, meetings, presentations and activities.

Investigate the feasibility of applying a wide variety of scientific principles and concepts to potential inventions, products and problems. Focus on creating and designing models for software solutions. Plan and execute applied research.

Carry out research and development in one or more of the following areas:

• Computer Vision Applications
• 3D computer vision,
• Lighting condition analysis,
• Image and video analysis and understanding
• Machine learning
• Contribute to Canon’s intellectual property portfolio
• Work with research team on investigations, software products, and software prototypes

About You: The Skills & Expertise You Bring

An enrolled undergraduate student who is currently a junior and entering their senior year as of Summer 2026, pursuing a Bachelor’s degree aligned with the department of interest. A strong communicator-both written and verbal-with advanced proficiency in Google Workspace (Sheets, Docs, Slides, Chat, Calendar and Drive). Brings the ability to thrive as a collaborative team player while also working independently with confidence and enthusiasm.

• Undergraduate and graduate student in Computer Science, Engineering, or related field.
• Strong mathematical background and ability to apply it to new problems
• Working experience in Python, and/or Matlab
• Experience with libraries such as OpenCV and PyTorch
• The ability to work in a highly collaborative, fast moving, multi-cultural environment

We are providing the anticipated rate for this role: $25.00 - $40.00 hourly.

Company Overview

US-MI-Livonia

Job ID:
Type: Regular Full-Time

of Openings: 1

Category: Marketing Analytics & Data Science
Livonia, MI Hybrid

Overview

Why AAA Life

AAA Life is a respected and trusted American brand that has been focusing on Life Insurance and Annuity Products since 1969. At AAA Life we have over 1.8 million policies where we take pride in earning the trust of our policyholders who understand our promise to be there for them - and their families - when we’re needed most. By joining the AAA Life team, you are joining a company that genuinely cares about helping each other, with a devotion to protect the lives of those around us. We embrace a diverse, equitable, inclusive culture where all associates can feel a sense of belonging and use their unique talents and perspective to influence, innovate, motivate, and thrive.

How You’ll Work

• Work Solution: Hybrid
• Relocation Eligibility: Available

Responsibilities

What You’ll Do

The Data Science and Marketing Analytics Innovation Lead drives data-driven marketing strategies for a specific product line. This agile, empathetic, adaptable analytics leader bridges marketing and data science teams while demonstrating deep data science marketing knowledge-including direct mail, digital strategies, customer behavior, campaign execution and optimization, and process automation -to develop effective, data-driven decisions. Excelling at multitasking, they seamlessly transition between strategic planning and tactical execution under tight deadlines, effectively communicating complex concepts to diverse audiences. They contribute to the organizational transformation initiatives, lead change management, foster a culture of data-driven decision-making, identify and implement emerging analytics technologies. This role supervises a team of data scientists, analysts, and engineers and collaborates with product team members and managers.

• Product Data and Analytics Strategy: Develop and execute data and analytics plans aligned with product and organizational goals.
• Predictive Modeling: Lead the creation of customer segmentation and propensity models to enhance marketing effectiveness.
• Marketing Analytics: Direct cross-channel campaign analysis, establish KPIs, and optimize marketing ROI.
• Cross-functional Collaboration: Serve as the primary liaison between data teams and marketing stakeholders, translating technical insights into actionable business recommendations.
• Team Leadership: Mentor and manage Data Scientists, Analysts, Engineers in a collaborative, innovative environment.
• Data Infrastructure: Collaborate with Analytics Engineering to build and maintain robust, compliant data pipelines.
• Experimental Design: Implement testing frameworks and A/B experiments to boost customer experience and marketing performance.
• Performance Reporting: Develop dashboards and reports to monitor product performance and key business metrics.
• Automation Strategy: Spearhead the identification, design, and implementation of automation opportunities, including generative AI, across the data and marketing workflow. Develop intelligent automation solutions that reduce manual effort, increase operational efficiency, and allow the team to focus on high-value strategic activities.
• Innovation and Optimization: Review and understand tools in the marketplace that will help with innovation and optimization. Actively seek out new use cases and experiments that will result in organizational transformation and sales and profit improvements.

Qualifications

Basic Required Qualifications

• Master’s degree in Statistics, Data Science, Economics, Computer Science, Mathematics, or related quantitative field
• Minimum 10 years of experience in data science, analytics, or related field
• Minimum of 7 years of experience in managing and leading people
• Strategic thinker with a passion for innovative marketing strategies; has a deep understanding of direct mail and digital marketing analytics. Proven leadership in data science or analytics with a marketing focus.
• Strong technical background in predictive modeling, statistics, and data visualization coupled with experience leading teams through organizational transformation and innovation.
• Extensive hands-on experience in direct marketing, digital campaign optimization, experimental design, A/B testing, modeling using Generative AI/ML, and marketing media attribution models.
• Advanced training or academic focus in non-parametric statistics, resampling methods, or Bayesian approaches for small sample inference
• Experience applying sequential testing or multi-armed bandit approaches to maximize insights from limited samples in marketing contexts
• Advanced proficiency in Python, SQL, and marketing technology platforms such as DataRobot, Adobe Campaigns, DataBricks, and CDPs. Experience with marketing technology cloud platforms (AWS, Azure, GCP) and data visualization tools (Tableau, Power BI, or similar). Adaptable and quick with technology.
• Knowledge of automation tools and technologies (workflow automation, RPA, AI-driven automation). Experience designing and implementing automated reporting and alerting systems.
• Excellent persuasive communication skills for bridging technical and non-technical audiences. Excellent presentation skills for executive leadership.

Preferred Qualifications

• Previous experience in the life insurance, insurance, or adjacent industry
• Experience with Generative AI technologies for marketing applications
• Experience leading cross-functional teams in a matrix organization without direct authority
• Experience with customer journey and lifetime value analysis

Position Success Criteria

• Excellent written and verbal communication skills
• Strong organizational, problem-solving, and analytical skills
• Versatility, flexibility, and willingness to adapt to changing priorities
• Ability to exercise independent judgment and demonstrate leadership skills
• Proven ability to manage multiple projects and meet deadlines
• Strong interpersonal skills for effective collaboration and stakeholder engagement

While performing the duties of this job, the employee is frequently required to stand, walk, sit, use hands to finger, handle, or feel, talk, hear and concentrate. Specific vision abilities required by this job include close vision, distance vision, depth perception, and ability to adjust focus.

This job requires the ability to perform duties contained in the job description for this position, including, but not limited to, the above requirements. Reasonable accommodation will be made for otherwise qualified applicants as needed to enable them to fulfill these requirements.

We are committed to ensuring equal employment opportunities for all job applicants and employees. Employment decisions are based upon job-related reasons regardless of an applicant’s race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, marital status, genetic information, protected veteran status, or any other status protected by law.

AAA Life Insurance Company does not offer immigration sponsorship for this position. This includes visa types such as H-1B, TN, and STEM OPT. Please do not apply if you currently require or may require employer-sponsored immigration support now or in the future.

PM21

PI74b8132d497f-8688

Job Description

At Boeing, we innovate and collaborate to make the world a better place. We’re committed to fostering an environment for every teammate that’s welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us.

The Boeing Company is currently seeking an Experienced Embedded Software Engineer to support our Precision Engagement Systems located in Saint Charles, M O . The Precision Engagement Systems organization is a strong and growing business that produces a variety of precision-guided weapons, which are employed around the world to support the defense of the United States and more than 30 U.S. allied countries.

Our leadership team is committed to attracting and developing top talent to support critical Direct Attack (DA) and Cruise Missile Systems (CMS) missions. Aligned with customer objectives , we deliver tailored software solutions through our exceptional workforce. In Saint Charles, MO, we support Direct Attack weapons (JDAM, SDB, MOP, HAAWC and derivatives) and Cruise Missiles (SLAM-ER, Harpoon legacy and development weapons) deployed on a range of military aircraft and select ground platforms.

Join Us. Build the Future.

We are seeking talented experienced software engineers to work with a multi-discipline engineering team to design and develop software solutions for these platforms . Engineers on this team work in all phases of the software development lifecycle . We are actively building the team to achieve a growing work scope that includes implementing real-time embedded software applications, creating models and simulations, deploying DevOps methodologies and development environments, developing support applications, and maintaining software configurations and processes for an Agile development lifecycle.

Why Boeing:

• Work on systems that matter-delivering mission-critical capabilities with global impact.
• A culture that supports technical excellence, mentorship, and professional growth.
• The resources and partnerships to take on ambitious engineering challenges and see ideas through to deployment.
• A comprehensive benefits package including generous Paid Time Off (PTO), flexible work environment, paid parental leave, industry leading 401k matching, very generous tuition assistance for earning advanced degrees, and paid medical leave programs . For more information, click here .

Why St. Charles , MO:

• On-site cafeteria offering hot meals and grab-and-go options.
• Active Employee Resource Groups (ERGs) providing networking, mentorship, and community engagement.
• Campus walking path and outdoor spaces for breaks, walking meetings, and wellness activities.
• Fitness and wellness programs, local commuter resources, and community events.

Position Responsibilities:

• Collaborate with a multi-discipline engineering team to create and implement Operational Flight Program software solutions
• Contribute in all phases of the software development lifecycle in an Agile development environment
• Develop solutions using Ada, C#, and Python
• Test your software and assist system level testing to verify correct software functionality
• Analyze problem reports and troubleshooting software defects
• Develop leadership skills and experience
• Opportunity to work directly with United States Air Force and Navy customers

Basic Qualifications (Required Skills/ Experience):

• 3+ years of experience in r eal-time embedded software development
• 3+ years of e xperience in developing software using Object Oriented principles
• 3+ years of e xperience working in a team environment

Preferred Qualifications:

• Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, computer science, computer engineering, software engineering or equivalent experience strongly preferred
• Active U.S. secret clearance
• Experience with Ada, Python, or C#
• Experience working in an Agile software development environment
• Experience with Git or a similar version control system
• Experience developing and tracing software requirements

Drug Free Workplace:

Boeing is a Drug Free Workplace (DFW) where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies.

Relocation:

This position offers relocation based on candidate eligibility. Note: Basic relocation will be offered for eligible internal candidates.

CodeVue Coding Challenge:

To be considered for this position you will be required to complete a technical assessment as part of the selection process. Failure to complete the assessment will remove you from consideration.

Pay & Benefits:

At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities.

The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work.

The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements.

Pay is based upon candidate experience and qualifications, as well as market and business considerations .

Summary pay range for Experienced Level (Level 3): $ 1 19 , 00 0 - $16 1 , 000

Applications for this position will be accepted until Apr. 14, 2026

Export Control Requirements:

This is not an Export Control position.

Relocation

This position offers relocation based on candidate eligibility.

Security Clearance

This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Secret Clearance Post-Start is required.

Visa Sponsorship

Employer will not sponsor applicants for employment visa status.

Shift

This position is for 1st shift

Equal Opportunity Employer:

Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.

Job Description

At Boeing, we innovate and collaborate to make the world a better place. We’re committed to fostering an environment for every teammate that’s welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us.

Phantom Works is hiring a Front-Line Software Engineering Manager to lead mission systems, autonomy, and AI software teams supporting advanced R&D for Boeing Defense, Space & Security. This is a high-visibility role based in Berkeley, MO, with broad impact across Phantom Works and partner programs, including Collaborative Combat Aircraft (CCA) efforts - ideal for a hands-on leader who thrives in fast-paced, prototype-driven environments.

This software engineering manager will lead software design and development teams within Phantom Works (PW), joining the Mission Systems, Autonomy, and Artificial Intelligence (MSA2I) organization. Additionally, this position will also serve as the PW Software Skill Team Leader which will provide great visibility across the PW organization while helping recruit new software engineers to join us in our mission.

Phantom Works is an advanced research and development organization responsible for engaging customers through cutting-edge visual modeling and simulation; innovating cross-cutting concepts and technologies; prototyping solutions to extend current products and win new programs; developing new businesses and entering new markets.

Position Responsibilities:

• Manages, develops, and motivates 15-20 employees on a multi-skill agile development team performing engineering and technical activities for the mission systems, autonomy, and AI software products
• Oversees day-to-day program execution for software development teams
• Collaborates with 3rd party vendors to develop more robust solutions
• Acquires resources to support development team needs and encourages process improvements
• Develops and maintains relationships and partnerships with customers, stakeholders, peers, partners and direct reports
• Targets and shapes new market opportunities while defining clear product roadmaps
• Acts as the Staffing focal for the Phantom Works Software organization

Basic Qualifications (Required Skills/ Experience):

• Bachelor’s Degree
• 7+ years of software development experience
• 3+ years of experience in software management or team lead role
• 2+ years of experience managing software development teams and delivering projects on time
• Strong understanding of software development lifecycle (SDLC) and Agile methodologies

Preferred Qualifications (Desired Skills/Experience):

• Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science)
• Experience with C++ and Python
• Experience with DevOps tools and practice
• Experience with cloud platforms
• Experience with LLMs and vibe coding
• Excellent leadership, mentoring, and team-building skills
• Strong communication skills to interact with cross-functional teams and stakeholders
• Ability to manage multiple projects and priorities effectively

Travel: 10%

Drug Free Workplace:

Boeing is a Drug Free Workplace (DFW) where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies.

Pay & Benefits:

At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities.

The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work.

The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements.

Pay is based upon candidate experience and qualifications, as well as market and business considerations.

Summary Pay Range: $160,650 - $217,350

Applications for this position will be accepted until Apr. 14, 2026

Export Control Requirements:

This is not an Export Control position.

Relocation

This position offers relocation based on candidate eligibility.

Security Clearance

This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Secret Clearance Post-Start is required.

Visa Sponsorship

Employer will not sponsor applicants for employment visa status.

Shift

This position is for 1st shift

Equal Opportunity Employer:

Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.