AI/ML Engineer Jobs

Sr. Staff Software Engineer, AI Software IOT

Company:

Qualcomm Technologies, Inc.

Job Area:

Engineering Group, Engineering Group > Machine Learning Engineering

General Summary:

Job Description

The Qualcomm Cloud AI team is developing software solutions for Inference Acceleration.

We are seeking an ambitious, bright and innovative engineer who has delivered commercial software and experience spanning design, compiler technology, performance modeling, and bottleneck analysis.

Job activities span the whole product life cycle from early R&D to commercial deployment. The environment is fast-paced and requires cross-functional interaction on a daily basis so good communication, planning and execution skills are a must.

We are looking to staff engineers at multiple levels in systems & software, integration and test. Details of one of the roles we are looking to staff are listed below.

Backfill position

Minimum Qualifications:

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field and 8+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
OR
Master’s degree in Computer Science, Engineering, Information Systems, or related field and 7+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
OR
PhD in Computer Science, Engineering, Information Systems, or related field and 6+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.

Ideal candidates for this position will demonstrate the following:

Proven ability of planning, managing and deliver large commercial software projects
Experience in serving frameworks, like vLLM
Strong development skills in PyTorch
Strong understanding of LLMs, Multi-modal and reasoning models
Experience in executing, analyzing, and optimizing neural networks
Experience in writing high performance software for multicore systems
Experience with C++, Python
Strong skills in analyzing performance of software/hardware solutions on multi-core architectures; understanding of multi-core architecture fundamentals (core, cache, memory, bus, PCIe, etc)
Understanding of multi-core processor architecture and SoC architectures (NoCs, caches, memories, etc.)
Experience with Performance modeling of SoC architectures
Excellent communication skills (written and verbal) and team player
Experience with machine learning accelerators and related software is highly desired
Background and understanding of neural network operators and mathematical operations: linear algebra, math libraries, desirable
Master’s, Computer Engineering and/or Computer Networks & Systems and/or Computer Science

Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm’s toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).

To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.

EEO Employer: Qualcomm 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, Veteran status, or any other protected classification.

Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.

Pay range and Other Compensation & Benefits:

$200,800.00 - $301,200.00

The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer – and you can review more details about our US benefits at this link.

If you would like more information about this role, please contact Qualcomm Careers.

Principal Engineer, Solutions Architect Lead – Industrial & Embedded IoT, Edge AI On‑Prem Appliance

Company:

Qualcomm Technologies, Inc.

Job Area:

Engineering Group, Engineering Group > Machine Learning Engineering

General Summary:

As a leading technology innovator, Qualcomm pushes the boundaries of what’s possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm AI Software Engineer, you will create and implement machine learning techniques, frameworks, and tools that enable the efficient utilization of state-of-the-art machine learning solutions over a broad set of technology verticals.

In this position you will be responsible for assisting with the software design and development of the Qualcomm AI Stack within the Qualcomm AI Runtime (QAIRT) SDK, focused on IOT domain. You will contribute to the efficient execution of advanced deep neural networks (DNNs), large language models (LLMs), and other modern AI architectures.

You will have the opportunity to demonstrate your passion for software design and development through your analytical, design, programming, and debugging skills. In this role you will lead feature development, provide guidance to junior team members, and make decisions impacting your direct area and the broader work group. You will collaborate with cross-functional teams to deliver robust, scalable AI software solutions, and contribute to a culture of technical excellence, knowledge sharing, and continuous improvement within the AI Software team.

Minimum Qualifications:

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field and 6+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
OR
Master’s degree in Computer Science, Engineering, Information Systems, or related field and 5+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
OR
PhD in Computer Science, Engineering, Information Systems, or related field and 4+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.

Responsibilities

As the AI software lead, you will be hands-on and leading the team responsible for ensuring AI SDK support for a variety of IOT product platforms.
Drive feature development and enhancements needed in the Qualcomm AI Stack SDKs for IOT products.
You will work closely with the rest of the AI software team and with other teams within Qualcomm involved in supporting IOT platforms.
Decision-making is significant in nature and affects work beyond the immediate work group. You will provide supervision/guidance to other team members, and you will participate in strategic planning for integrating the Qualcomm AI Stack SDKs into IOT products.
You will also have to keep up with the fast-paced development happening in industry and academia to continuously enhance our solution from a software engineering as well as a machine learning standpoint.

Minimum Qualifications

Bachelor’s degree in Engineering, Information Systems, Computer Science, or related field.
8+ years of industry and general software development experience
Proficiency in software development using C/C++
Experience with Linux or Unix based OS systems software development environment
Strong software development skills (e.g. data structure and algorithm design, object oriented or other software design paradigm knowledge, software debugging and testing, etc.)
Ability to work independently with no supervision
Ability to lead a software team and effectively collaborate with cross-functional teams to deliver robust, scalable AI software solutions
Excellent communication skills (verbal, presentation, written).
Ability to convey complex and detailed information to multiple audiences and high-level stake holders
Ability to make decisions and construct plans with incomplete information

Preferred Qualifications

Master’s Computer Science, Computer Engineering, or Electrical Engineering
Software development experience with Python
Experience with Windows software development environment
Experience building embedded software applications
Experience debugging complex problems across multiple layers of hardware, OS, compiler, and drivers
Experience with different Neural Network architectures: DNNs, CNNs, RNNs/LSTMs, GANs, LLMs, etc.
Experience with low level interactions between operating systems (e.g., Linux, Android, QNX) and Hardware.
Experience using/integrating Qualcomm AI Stack products (e.g. QNN, SNPE, QAIRT)
Experience with agile software development practices and git based SCM
Ability to collaborate across a globally diverse team and multiple interests

Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm’s toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).

To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.

EEO Employer: Qualcomm 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, Veteran status, or any other protected classification.

Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.

Pay range and Other Compensation & Benefits:

$178,400.00 - $267,600.00

The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer – and you can review more details about our US benefits at this link.

If you would like more information about this role, please contact Qualcomm Careers.

https://www.qualcomm.com/internet-of-things/solutions/ai-on-prem-appliance

Santa Clara, California

Company:

Qualcomm Technologies, Inc.

Job Area:

Engineering Group, Engineering Group > Systems Engineering

General Summary:

***Hiring in Santa Clara or San Diego locations

Qualcomm is a global leader in connected intelligent edge, focusing on AI, edge computing and connectivity. Our fast‑growing Industrial and Embedded IoT (IE‑IoT) BU leads the transformation of industries through intelligent edge solutions that combine connectivity, compute, and AI. We expand our global talent in applied edge AI to support our customers’ digital transformation across many verticals and industries.

AI on‑prem Appliance is a new product line under IE‑IoT BU. This advanced AI solution is designed for generative AI inference and computer vision workloads on dedicated on‑premises hardware—allowing sensitive customer data, fine‑tuned models, and inference loads to remain on premises. It combines the accessibility and performance of a datacenter inference server with the power efficiency, form factor, privacy, personalization, and control of an on‑premises AI solution. Qualcomm AI Inference Suite provides ready‑to‑use AI applications and agents, tools, and libraries for operationalizing AI—from computer vision to generative AI—spanning on‑prem and cloud deployments.

Qualcomm is building end‑to‑end Edge AI solutions for Generative AI (LLM, VLM, VLA), Agentic AI, Voice AI, NLP and CV workloads that are commercially deployed on AI on-prem Appliance. Applications and use cases span various connected devices in on‑device, on‑prem, and hybrid cloud scenarios. As a Principal Systems Solutions Architect, you will define, develop, document and own scalable and customizable blueprints for different vertical solutions, lead hands‑on prototyping, and collaborate closely with customers, partners, product management, customer engineering and other internal teams to tailor deployments for enterprise customers across industries. We are seeking an experienced, hands-on expert with strong SW skills, solid knowledge of AI hardware, passionate about developing innovative genAI and hybridAI solutions with transformational impact to the industries.

For more information, please navigate to the AI-On Prem Appliance page on our portal:

Key Responsibilities:

Own solution blueprints: Design, develop, document, and maintain reference designs and delivery playbooks that accelerate repeatable GenAI/Hybrid‑AI deployments on AI on-prem Appliance across priority verticals (e.g., industrial, retail, smart spaces, healthcare, public sector).
Vertical customization: Partner with Product Management, Account Managers, Regional teams, Engineering and field teams to adapt blueprints to customer‑specific requirements/KPIs , data, infrastructure, privacy/security, and compliance constraints; drive solution acceptance and production hand‑off.
Be hands‑on: Proficient in SW skills; Design and develop reference designs, Build POCs and pilot systems; instrument, profile, and optimize models and pipelines end‑to‑end (latency, throughput, accuracy, cost, power/thermals, footprint).
Multi‑model AI expertise: Apply and integrate LLMs, VLMs, VLAs, CV/CNN, and NLP stacks; select/quantize/prune/distill models; tune adapters; and integrate guardrails, retrieval, and evaluation frameworks.
Solutions focus: Deliver production‑grade patterns for video analytics, enterprise GenAI (RAG, document AI, code & task copilots), and multimodal agents that interact with enterprise systems and tools.
Hybrid AI architecture: Partition workloads across on‑device AI for a variety of edge devices, , on‑prem/edge boxes, and cloud AI; orchestrate data, models, and agents; design for offline/online modes, observability, and device management.
Agentic AI: Architect and implement agentic workflows (multi‑agent planning, tool use/function calling, memory, safety) using Qualcomm platforms and industry frameworks; define KPIs and evaluation loops.
Customer focus: Engage with customers from discovery to scale‑out; translate business objectives into measurable technical requirements; lead design reviews, roadmap alignment, and executive readouts.
Cross‑functional leadership: Work with CE, Product Management, Solutions, Platform SW, Performance, Security, and Research to leverage existing knowledge and infrastructure, land features in reference design releases, software roadmaps and deliver outcomes.
Innovation and Thought leadership: Create best‑practice guides, participate at leading industry events and workshops; stay abreast on the latest tech developments in the field, be aware of the competitive landscape, mentor engineers

This is an office based position located in San Diego, CA and is expected to comply with the company’s onsite work policy

Minimum Qualifications:

• Bachelor’s degree in Engineering, Information Systems, Computer Science, or related field and 8+ years of Systems Engineering or related work experience.
OR
Master’s degree in Engineering, Information Systems, Computer Science, or related field and 7+ years of Systems Engineering or related work experience.
OR
PhD in Engineering, Information Systems, Computer Science, or related field and 6+ years of Systems Engineering or related work experience.

Preferred Qualifications:

Proven track record (Principal level) architecting and shipping systems‑level AI solutions that combine application, runtime, and platform considerations (performance, power, memory, cost, security).
Deep hands‑on proficiency with LLM/VLM/CV/NLP model lifecycles: selection, fine‑tuning/LoRA, compression/quantization, runtime integration, and hardware‑aware optimization and deployment
Expertise designing hybrid AI: placing workloads across device/edge/cloud; knowledge of data pipelines, streaming/vision services, vector/RAG stores, feature stores, and observability.
Strong software engineering foundations (Python/C++), containerization, AI accelerators, and profiling tools; fluency with modern inference/runtime stacks.
Customer‑facing experience on launching new AI-enabled products working with engineering and product management teams to drive POCs to production with clear KPIs
Excellent communication and leadership skills to influence across teams and with customers/peers and executives.
Experience building video analytics pipelines (tracking, action/event detection, privacy filters), and integrating them with enterprise VMS/IoT backbones and AI based vision solutions
Designing and deploying agentic AI systems (multi‑agent planners, tool ecosystems, policy/guardrails, eval harnesses); familiarity with orchestration frameworks and agent runtimes.
Model/system benchmarking and E2E evaluation (latency/accuracy/cost/power), testing, and operations for AI at the edge.
Background with Qualcomm AI platforms and heterogenous acceleration; familiarity with on‑device inference and memory/power budgeting.
Domain exposure in one or more verticals: industrial automation/IIoT, retail analytics, healthcare operations, smart buildings/cities, logistics, or public sector.
Graduate degree in CS/EE/CE or equivalent applied experience.
15+ years of hands-on experience as an individual contributor with 10+ years in the AI/ML fields.

Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm’s toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).

To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.

EEO Employer: Qualcomm 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, Veteran status, or any other protected classification.

Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.

Pay range and Other Compensation & Benefits:

$220,200.00 - $330,400.00

The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer – and you can review more details about our US benefits at this link.

If you would like more information about this role, please contact Qualcomm Careers.

AI/Machine Learning Researcher, Senior (AI Research)

Physical AI Model Optimization Lead - Qualcomm Advanced Robotics Team

Company:

Qualcomm Technologies, Inc.

Job Area:

Engineering Group, Engineering Group > Machine Learning Researcher

General Summary:

Qualcomm AI Research is looking for world-class researchers in artificial intelligence to join our team. Members of our global team form a multi-disciplinary core research group within Qualcomm which spans software, hardware, and systems, and we contribute technology deployed worldwide by partnering with our business teams across mobile, compute, automotive, cloud, and IOT. We also perform and publish state-of-the-art research on a wide range of topics in artificial intelligence, ranging from general theory to techniques that enable deployment on resource-constrained devices. We are dedicated to pushing the boundaries of AI across Generative AI, LLM and Multi-Modal Foundation Models, Reasoning, Reinforcement Learning, Agentic AI, and Autonomy, with a strong emphasis on efficient on-device intelligence. Please see our AI focus page at https://qualcomm.com/ai for more details.

Position Summary:

Ideal candidates will have a strong publication record in top-tier AI/ML conferences and deep expertise in generative AI, including Multi-Modal Foundation Models, Efficient Architectures, LLM Reasoning, Reinforcement Learning, Agentic AI, and Autonomy. You will l;ead and contribute to high-impact research initiatives, collaborate with global teams, and help transition cutting-edge models into real-world applications.

Key Responsibilities:

Conduct cutting-edge research in efficient generative AI: LLMs and Multi-Modal Foundation Models, LLM Reasoning, Reinforcement Learning, Agentic AI and others.
Lead efforts in transitioning research into production-ready solutions, enabling real-world applications and commercial impact.
Develop creative solutions with consideration of practical challenges on devices
Implementation and evaluation of possible solutions in both simulation and on-device environments
Contribute to Qualcomm’s strategic initiatives in efficient AI and embedded intelligence.
Publish in top-tier conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, ACL, EMNLP).

Required Qualifications:

Proven research excellence demonstrated by publications in top-tier AI/ML conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, ACL, EMNLP).
Deep expertise in Generative AI, LLMs, Multi-Modal Foundation models, LLM Reasoning, Reinforcement Learning, and Agentic AI.
Hands-on experience with model development pipelines, including training, fine-tuning, evaluation, and optimization.

Preferred Qualifications:

PhD in Computer Science, Electrical Engineering, or related fields or MS with 4+ years of AI research, or related work experience
Experience in LLM efficiency research such as efficient attention, inference acceleration, or KV cache compression
Experience in on-device AI deployment on mobile or edge devices
Familiar with model optimization techniques such as quantization and distillation.

Why Join Us:

Be part of a globally recognized AI research organization.
Work on impactful projects with real-world deployment.
Collaborate with top researchers across Qualcomm’s global network.
Thrive in an inclusive, innovation-driven environment.
Enjoy competitive compensation and career development opportunities.

Minimum Qualifications:

• Master’s degree in Computer Engineering, Computer Science, Electrical Engineering, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
OR
PhD in Computer Engineering, Computer Science, Electrical Engineering, or related field.

• 6+ months of experience developing and/or optimizing machine learning models, systems, platforms, or methods.

Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm’s toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).

To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.

EEO Employer: Qualcomm 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, Veteran status, or any other protected classification.

Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.

Pay range and Other Compensation & Benefits:

$159,100.00 - $238,700.00

The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer – and you can review more details about our US benefits at this link.

If you would like more information about this role, please contact Qualcomm Careers.

SoC Systems Performance Engineer, Senior Staff

Company:

Qualcomm Technologies, Inc.

Job Area:

Engineering Group, Engineering Group > Machine Learning Engineering

General Summary:

***Hiring in San Diego and Santa Clara

About Qualcomm Robotics

Qualcomm’s Advanced Robotics Team is building an AI‑first stack and platform for the next generation of general‑purpose robots—from AMRs and cobots to emerging humanoids—by pairing heterogeneous compute (CPU/GPU/DSP/NPU) with a full Robotics SDK and developer tooling for manipulation, perception, navigation, and fleet workflows. The team leverages Qualcomm’s success in automated driving, advanced end‑to‑end AI development, and safety architecture to accelerate growth in this emerging market.

Role Overview

The Physical AI Model Optimization Lead will drive the technical execution of advanced robotic AI model deployment on Qualcomm chipsets. This is a deeply technical, hands‑on role focused on quantization, compression, optimization, mixed‑precision tuning, and hardware‑aware graph transformations using Qualcomm’s internal toolchains.

A key responsibility of this role is creating and maintaining a curated library of robotics‑focused AI models that are pre‑optimized for deployment on Qualcomm chips. These models—spanning perception, control, VLA, and multimodal reasoning—will be packaged, validated, and made available for customers as high‑performance, deploy‑ready components that accelerate their development cycles.

This role provides exposure to industry‑leading robotics‑centric AI models, including next‑generation vision‑language‑action (VLA) architectures and complex multimodal transformers and reasoning models, with responsibility for taking models from research‑grade to highly optimized real‑time deployment on heterogeneous compute.

Your work will directly impact real robots—and the teams building them.

Why Join Us

Shape the core platform that powers intelligent, safe, and scalable robotic operations.
Work with some of the most advanced robotic AI models in the world.
Influence the optimization and deployment pipeline for next‑generation robotic intelligence.
Access competitive compensation, deep technical growth, and opportunities to shape the future of on‑device AI.

Minimum Qualifications:

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field and 6+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
OR
Master’s degree in Computer Science, Engineering, Information Systems, or related field and 5+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
OR
PhD in Computer Science, Engineering, Information Systems, or related field and 4+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.

Preferred Qualifications:

MS in Computer Science, Electrical Engineering, Robotics, or a related field; PhD a plus.
5+ years of experience in embedded/on‑device AI, model optimization, or performance engineering.
Deep technical expertise in:
- Mixed‑precision quantization (INT8/FP16/FP8)
- QDQ graph‑based quantization flows
- PTQ and QAT workflows
- Model compression techniques (pruning, distillation, low‑rank methods)
Strong experience with ONNX and PyTorch or TensorFlow model export and graph manipulation.
Hands‑on profiling experience on edge devices, custom SoCs, or heterogeneous compute targets.
Experience with Qualcomm toolchains: AI Hub Workbench, AIMET, QNN, QGenie, or similar.
Background optimizing transformer‑based perception, VLMs, and VLA architectures.
Understanding of heterogeneous compute system design and operator scheduling.
Direct experience supporting customers or partners in model deployment and performance tuning.

Responsibilities

Execute end‑to‑end model optimization, including graph rewrites, operator fusion, and hardware‑specific transformations.
Apply mixed‑precision quantization and QDQ workflows (PTQ/QAT) for high‑performance deployment.
Implement compression techniques such as pruning, distillation, and low‑rank factorization.
Debug accuracy issues using fine‑grained tensor comparisons during quantization and conversion.
Use Qualcomm tools (AI Workbench, AIMET, QNN, QGenie, profilers) to convert, validate, and optimize models.
Map and tune models across heterogeneous compute (DSP/NPU/GPU), including operator placement and kernel selection.
Perform detailed performance profiling and analyze memory, tiling, and scheduling behavior.
Collaborate with internal teams and external customers to integrate, tune, and validate models on Dragonwing hardware.

How You’ll Lead

Set the technical bar for optimization of physical AI models.
Own optimization workflows from initial model drop → compression → mixed‑precision/QDQ quantization → conversion → on‑device profiling → final tuned deployment.
Work closely with Qualcomm’s existing tools and teams—AI Hub Workbench, QNN, AIMET, QGenie, compiler, and robotics AI.
Serve as the technical authority on quantization correctness, mixed‑precision design, and hardware‑aware optimization for physical AI.
Drive improvements in internal tools and processes through hands‑on experiments and data‑driven reporting.

Why Qualcomm

Gain direct access to state‑of‑the‑art robotic AI models and run them on advanced heterogeneous compute.
Work at the intersection of embedded AI, robotics, and high‑performance model optimization.
Collaborate with teams building Qualcomm’s inference engines, compilers, and silicon.
Ship improvements that immediately impact real robots across industries.

Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm’s toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).

To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.

EEO Employer: Qualcomm 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, Veteran status, or any other protected classification.

Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.

Pay range and Other Compensation & Benefits:

$178,400.00 - $267,600.00

The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer – and you can review more details about our US benefits at this link.

If you would like more information about this role, please contact Qualcomm Careers.

Company:

Qualcomm Technologies, Inc.

Job Area:

Engineering Group, Engineering Group > PPT Systems Engineering

General Summary:

Qualcomm’s Chip Architecture multi-site team of systems engineers, hardware and software architects are driving analysis and defining next-generation architectures for our system-on-chip (SoC) products for mobile, automotive, Compute and other product categories.

We have an exciting and dynamic technical position available with a focus on SoC performance analysis. The successful candidate will engage collaboratively across the company to work with architects and engineers in core HW design & verification, SW, marketing, and product planning teams, to:

Engineer market-leading SoC products with best-in-class performance
Lead and conduct performance and systems studies
Conduct or contribute to analysis to define our SOC architecture plans simultaneously taking into account performance, power and thermal
Collaborate with HW and SW teams to define best-in-class multimedia, modem, compute and memory technologies
Define complex use cases including new workloads (Gaming, AI) and infer systems requirements
Deploy simulators, profilers, or hardware to understand performance bottlenecks and provide quantitative justification for architectural changes or tuning
Directly apply computer architecture knowledge of CPUs, GPUs, DSPs, cache coherency, virtual memory, etc.
Effectively communicate and experimental results with technical leads and peers
Creatively overcome obstacles to obtain the answers to architectural questions
Invent and file patents on technical solutions to relevant problems

Position Requirements/Minimum Qualifications:

Bachelor’s degree in Engineering, Information Systems, Computer Science, or related field.
5+ years System Engineering or related work experience

Preferred Qualifications:

MS or PHD degree
7+ years Systems Engineering or related work experience
Excellent communication and presentation skills
Industry experience required in one or more of the following areas:
- Computer Architecture concepts, such as CPU, GPU, DSP, interconnects, shared memory, etc.
- System or chipset development for SoC products, preferably in the mobile market
- OS principles and HW/SW interaction
- SoC bus, interconnect, memory technologies, memory controllers, scheduling, MMUs
- Hands-on experience in using and modifying simulators and performance/power models, especially full-system models
- SystemC and event driven simulators
- Using code and/or system profiling tools
- C/C++ programming
- VLSI design and verification
- Pragmatic scripting & automation skills
- Familiarity with ARM, Linux
- Familiarity with multimedia or communication technologies including audio codec, video codec, camera, WLAN, LTE and 5G

Applicants: Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm’s toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).

To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.

EEO Employer: Qualcomm 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, Veteran status, or any other protected classification.

Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.

Pay range and Other Compensation & Benefits:

$179,000.00 - $268,400.00

The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer – and you can review more details about our US benefits at this link.

If you would like more information about this role, please contact Qualcomm Careers.

Radar Systems Engineer

BOOZ, ALLEN & HAMILTON, INC.

Description

Are you interested in developing advanced radar systems to make an impact on our nation’s defense?

Do you want to be part of an enthusiastic team dedicated to advancing the state of the art in radar systems?

How about contributing to the design and test algorithms for defense against missiles, including but not limited to Hypersonics?

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

We are seeking a creative and highly motivated problem solver to help us develop and analyze advanced radar systems within the Air and Missile Defense Sector, the Sensor Systems Engineering Group (A2B). You will work with other APL engineers as well as outside prime contractors and government sponsors. You will engage with a hardworking and enterprising team of scientists and engineers working to develop high-impact solutions for the Nation’s defense. We are committed to excellence and strive to cultivate an environment of collaboration, coordination, creativity, and initiative. We value earnest communication, technical effort, and positive mindsets. Be part of a team of talented engineers tackling national security challenges!

As a Radar Systems Engineer, you will…

Conduct analysis of radar systems utilizing existing high fidelity radar system to understand capabilities and limitations of systems under highly variable operational conditions
Research and develop realizable solutions to gaps and opportunities identified through modeling, simulation, and analysis
Provide insightful documentation on analysis findings and new concepts
Interact with sponsors to understand program priorities, share analysis results, and introduce new concepts
Participate in design reviews, technical interchanges, working groups, and program status meetings, either as a presenter or as a reviewer
Participate in meetings and collaborations at Navy and vendor locations
Have the opportunity to develop and propose ideas for APL Internal Research and Development funding

Qualifications

You meet our minimum qualifications for the job if you…

Have a Bachelor of Science degree in Physics, Mathematics, Electrical Engineering, Computer Science, Computer Engineering or related technical field
Have at least 1-year of experience in Aerospace, Hypersonics, Radar, or RF systems
Have familiarity with Python, MATLAB, MATLAB Toolboxes, and Microsoft Office products
Possess excellent interpersonal skills and be able to effectively interact with sponsors, management, and working group team members in a fast-paced environment
Are able to obtain an Interim Secret, 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…

Have an M.S. in the fields listed above
Have 2+ years experience in Aerospace, Hypersonics, Radar or RF systems
Can manage and manipulate large data sets and utilize various machine learning techniques
Have experience scripting and coding in a variety of languages, applying signal processing, ML, stochastic processes, AI, or related subject areas to algorithm development for radar domain problems for phased arrays, dense mediums, digital radar, multi-static radar
Current Secret clearance with an ability to obtain higher-level clearances

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

$85,000 Annually

Maximum Rate

$195,000 Annually

Data Scientist

Alexandria, VA, United States

The Opportunity:

In this role, you will apply data science techniques and methods and leverage a suite of data-driven tools to aid the client’s service leadership and subject matter experts to increase decision space, understand strategic risk, and develop courses of action. Employ expert judgment, adaptable methodologies, repeatable analytic processes, and enterprise-wide collaboration to provide routine, special interest, and alert-triggered campaign assessments, and when necessary, facilitate and synchronize enterprise-level campaign adjustment. You will help DoD senior leadership mobilize for long-term campaigning, marshal DoD resources and actions against desired strategic outcomes, and maneuver the department with greater precision and effect to persistently pursue opportunity and mitigate risk vis-a-vis the pacing rival. Analysts are tasked with utilizing a flexible and foundational toolset that will add value across campaigning topics. Analysts will blend functional area knowledge with an ability to identify data sources, manipulate data, use data analytics tools, understand and anticipate strategic intent, and communicate with senior DoD leaders.

As a data scientist, you’re excited at the prospect of unlocking the secrets held by a data set, and you’re fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence. In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As a data scientist at Booz Allen, you can turn these complex data sets into useful information to solve global challenges across private and public sectors from fraud detection to cancer research, to national intelligence, we need a seasoned data scientist like you to help find the answers in the data.

On our team, you’ll use your leadership skills and data science expertise to create real-world impact. You’ll work closely with clients to understand their questions and needs in order to then dig into their data-rich environments to find the pieces of their information puzzle. You’ll guide and mentor your team as you oversee the development of algorithms and systems. You’ll use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to advise your clients as they make informed decisions. As a technical leader, you’ll identify new opportunities to use data science solutions to help your clients meet their toughest challenges. Ultimately, you’ll provide a deep understanding of the data, what it all means, and how it can be used.

What You’ll Work On:

Design and execute statistical analyses on large, complex datasets from multiple sources.
Develop production-quality data visualizations, plots, and dashboards for technical and executive audiences.
Lead data science projects from scoping through delivery, ensuring analytical rigor and alignment with mission objectives.
Collaborate with stakeholders to translate strategic questions into analytical approaches and deliver actionable insights.
Respond to ad-hoc analytical requests while managing competing priorities and deadlines in an agile workflow.
Mentor junior data scientists and establish best practices for reproducible, well-documented analyses.
Communicate complex statistical findings to both technical teams and senior DoD leadership.

Join us. The world can’t wait.

You Have:

4+ years of experience with data science, statistical analysis, or quantitative research
4+ years of experience with the development of algorithms, leveraging R or Python in data analysis libraries, including pandas, NumPy, scikit-learn, or Tidyverse
4+ years of experience analyzing structured and unstructured data sources
Experience with statistics, including hypothesis testing, regression analysis, experimental design, and uncertainty quantification
Experience with data management in SQL, including managing large-scale data across multiple databases and data warehouses
Experience working with large-scale datasets and distributed computing frameworks, including Spark or DASK
TS/SCI clearance
Bachelor’s degree

Nice If You Have:

Experience with Natural Language Processing (NLP) techniques, such as text classification or entity recognition
Experience with geospatial data analysis
Experience with Databricks for data science workflows, including building and scaling analytical pipelines, collaborating in notebooks, and integrating with Spark for large-scale data processing
Experience with data engineering principles, including ETL design, orchestration, and data pipeline architecture, to effectively partner with engineering teams
Experience working with the U.S. Department of Defense or the Intelligence Community
Experience with graph analytics, network analysis, or anomaly detection techniques
Experience with version control, such as Git, and reproducible research practices
Knowledge of machine learning model development and deployment practices
Possession of excellent written and verbal communication skills
Master’s degree in Statistics, Computer Science, Data Science, or Economics

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required.

Compensation

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $77,600.00 to $176,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date.

Identity Statement

As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

Work Model
Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely.

If this position is listed as remote or hybrid, you’ll periodically work from a Booz Allen or client site facility.
If this position is listed as onsite, you’ll work with colleagues and clients in person, as needed for the specific role.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

AI Security Solutions Architect

BOOZ, ALLEN & HAMILTON, INC.

+2

The Opportunity:

As a Secure AI Architect, you’ll be responsible for designing and implementing secure architectures for artifi cia l intelligence and machine learning ( AI / ML ) systems across the organization. This role bridges cybersecurity and AI engineering disciplines to ensure that AI models, data pipelines, and supporting infrastructure are protected against threats such as data poisoning, model inversion, prompt injection, and adversarial attacks.

You will play a key role in shaping enterprise AI security strategies, developing secure model deployment frameworks, ensuring compliance with emerging AI regulations, and embedding security-by-design principles into all AI initiatives.

Join us. The world can’t wait.

You Have:

8+ years of experience in cybersecurity, systems architecture, or sof tware engineering, including AI / ML solution design
5+ years of experience supporting DoD, Intelligence Community, or federal civilian agency missions
3+ years of experience designing, deploying, and securing AI / ML pipelines, including model training, inference, and monitoring
Experience with large language model platforms and APIs such as OpenAI, Anthropic, Azure OpenAI Service, and Amazon Bedrock, ML frameworks such as TensorFlow, PyTorch, scikit-learn, and Hugging Face Transformers, data engineering and analytics platforms such as Databricks, Apache Spark, Snowflake, and Apache Iceberg, and ML orchestration and serving platforms such as Amazon SageMaker, Vertex AI, MLFlow, and Kubeflow
Experience implementing AI security controls, including data provenance, model integrity, and AI supply chain risk management
Experience integrating AI into operational workflows, including SOC automation, threat detection, and cyber analytics
Knowledge of AI governance frameworks and DoD Responsible AI principles
Secret clearance
HS diploma or GED
DoD 8140 Certification such as Security+, CISSP, CASP+, CCSP Certification

Nice If You Have:

Experience operating in IL5, IL6, or IL7 environments
Experience developing AI-enabled defensive cyber capabilities such as automated triage, detection engineering, or autonomous response
Experience securing large language models, RAG architectures, or agentic AI systems
Experience with MLOps or AIOps practices, including model versioning, drift detection, and performance monitoring
Experience with stream processing platforms such as Cribl, Kafka, or Flink, for real-time AI data ingestion
Experience with data governance for AI training data in multi-classification or coalition environments
Bachelor’s degree in CS, Data Science, AI, Cybersecurity, or Engineering

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information ; Secret clearance is required.

Compensation

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date.

Identity Statement

As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

Work Model
Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely.

If this position is listed as remote or hybrid, you’ll periodically work from a Booz Allen or client site facility.
If this position is listed as onsite, you’ll work with colleagues and clients in person, as needed for the specific role.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

Mission Analysis Engineer - Millennium Space Systems

BOEING

El Segundo, California

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.

Millennium Space Systems, a part of Boeing Defense, Space and Security (BDS), is a fast, agile small satellite company focused on national security space. Our missions have direct impact to global security, like missile warning and Earth observation.

Our team is curious, bold and innovative. We take risks, innovate and explore new techniques and technologies. We influence change because we challenge the status quo. And when we watch our satellites launch, we know each one of us made it happen.

As a Mission Analysis Engineer on the Mission Analysis Engineering Team, you will be the Responsible Engineering Authority (REA) for all modeling, simulation, and analysis for a program, study, or proposal. You will develop methods to simulate mission scenarios and assess end-to-end constellation capabilities; design and implement image processing, inertial tracking, state estimation, and optimal control algorithms for sensor systems; and provide tools and modeling platforms for validating system performance during on-orbit mission operations.

You will work shoulder-to-shoulder with technical and program leadership and will be responsible for program management activities, to ensure that high-quality work products are delivered on time and that the proposed mission solution meets the customer’s need.

Position Responsibilities:

Build and maintain simulations for large satellite constellations to assess effectiveness against mission requirements
Own the Electro-Optical/Infrared (EO/IR) image processing algorithms chain, from photon to Warfighter
Create models for space vehicle payloads to use in system trades and performance predictions
Develop novel algorithms, models, and data processing schemes for EO/IR sensing and tracking systems
Concepts of Operation (CONOPS)/Design Reference Mission (DRM) development, modeling, and simulation
Collaborate with software and firmware teams to develop platforms for simulation deployment (eg. software/hardware-in-the-loop)

Security Clearance and Export Control Requirements:

This position requires the ability to obtain a U.S. Security Clearance. for which the US Government requires U.S. Citizenship. A final U.S. Top Secret security clearance is required post start.

Basic Qualifications (Required Skills / Experience):

9+ years experience in aerospace systems design, analysis, and/or operation
Bachelor’s degree in engineering or the physical sciences / computer science
Experience in modeling and simulation of complex satellite systems using common tools such as Matlab/Simulink, Python, or C++
Experience with EO/IR optical systems and image processing algorithms
Experience in orbital mechanics and kinematic state estimation
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. Top Secret Clearance Post-Start is required.

Preferred Qualifications (Desired Skills/Experience):

14+ years’ experience in satellite design and/or operation
Experience with government furnished image models like ASSET, PRA Toolkit, or AFSIM
Proficiency with hardware development languages such as VHDL, Verilog, Vitis Model Composer
Experience with satellite space-to-space communication networks
Technical leadership experience, including requirements V&V, delegation and management of technical tasks, responsible engineering authority (REA) experience, and cost account management (CAM) experience.
Possess active TS/SCI clearance

Conflict of Interest:

Successful candidates for this job must satisfy the Company’s Conflict of Interest (COI) assessment process

Drug Free Workplace:

Millennium Space Systems, a Boeing Company, 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.

Total Rewards:

At Millennium Space Systems, a Boeing Company, 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.

Millennium Space Systems 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:

Level 4: $135,150 - $198,750
Level 5: $164,050 - $241,250

Millennium is DDTC-registered, ITAR-compliant Company. This position is located at a facility that requires special access. Applicants MUST be U.S. citizens and eligible for a security clearance. Additionally, applicants must be willing to apply for and maintain a security clearance. We encourage all interested candidates to apply for any open position for which they feel they are qualified.

Applications for this position will be accepted until Mar. 31, 2026

Export Control Requirements:

This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a “U.S. Person” as defined by 22 C.F.R. 120.62 is required. “U.S. Person” includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee.

Export Control Details:

US based job, US Person required

Relocation

Relocation assistance is not a negotiable benefit for this position.

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. Top 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.

Senior Engineer / Analyst for ISRT & BMC2 Applications

Senior Air-to-Air Modeling and Simulation Analyst

In office

Senior

$100,000 - $245,000

Description

Do you enjoy leading teams, mentoring staff, and guiding complex technology development efforts and analyses?

Are you interested in researching, developing, and analyzing innovative ways to produce impactful information from many different types of sensors and sources of data?

Do you want to advance US defense capabilities in Intelligence, Surveillance, Reconnaissance, and Targeting (ISRT) or Battle Management Command and Control (BMC2)?

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

We are seeking a creative and expert engineer and/or quantitative analyst to lead our efforts to conceptualize, develop, test, assess, and field the next generation of ISRT, Counter-ISRT or BMC2 capabilities for the US military. Our engineers and analysts apply a wide-range of disciplines such as sensor and data fusion, signal and image processing, operations research, applied physics, and artificial intelligence to build systems that automatically or autonomously orchestrate sensors, process data into information, and make intelligent inferences and predictions about complex threats and environments.

Our work enables the US military to neutralize a wider variety of serious threats from safer distances than they could otherwise accomplish; improves the safety, survivability, and effectiveness of US air, naval, and ground forces; and disrupts the ability of potential adversaries to threaten our forces.

As a Senior Engineer/Analyst for ISRT and BMC2 Applications …

Your primary responsibility will be to lead and contribute to teams developing algorithms, mathematical-physical models, and prototype software for ISRT and BMC2 applications.
You will lead and contribute to teams developing new signal processing, image processing, multi-sensor data fusion, and multi-sensor resource optimization techniques.
You will lead and contribute to teams developing new modeling, simulation, and analytical methods and tools.
You will lead and contribute to teams developing and analyzing new ISRT concepts and architectures.
You will lead and contribute to field tests and experiments, including planning, execution, and data analysis.
You will document and present the team’s results to managers, sponsors, and technical workshops and conferences.

Qualifications

You meet our minimum qualifications for the job if you…

Have at least a Bachelor’s degree in engineering, applied mathematics, computer science, physics, or another related field
Have at least sevenyears of relevant experience in a technical field.
Have expertise in some of the following areas: remote sensing, signal and image processing, data fusion, statistical analysis, mathematical optimization, pattern recognition, machine learning, and artificial intelligence.
Have skills and experience developing engineering applications in programming languages such as MATLAB, Python, C++, and Java and in Linux environments.
Have domain knowledge in ISR processes, systems, platforms, and sensors used by the US military and intelligence community; Navy and Air Force kill chain concepts; targeting, C2, and mission planning processes and tools; threat systems, weapon platforms and systems, and communications networks.
Have strong inter-personal and written communications skills.
Have skills and experience leading teams and complex technical efforts.
Have the ability to work and collaborate effectively in a team environment.
Have the ability to multi-task, support multiple, concurrent projects, and adapt to changing circumstances.
Are willing and able to work a portion of the time in secure, closed areas and travel occasionally to government sites and contractor facilities (local and non-local).
Hold an active Top Secret security clearance 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…

Have a Master’s or Doctorate degree in engineering, applied mathematics, computer science, physics, or another related field.
Have at least ten years of work experience in a relevant technical field.
Hold an active TS/SCI-level 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

Modeling & Simulation Engineer / Analyst for ISRT & BMC2 Applications

In office

Senior

$105,000 - $245,000

Description

Are you passionate about analyzing air combat systems and searching for an opportunity to apply your modeling, simulation, and analysis background in an engaging, collegiate environment?

If so, we are looking for someone like you to join the Air Combat and Strike Mission Analysis Group!

As an Air-to-Air Modeling & Simulation Analyst you will…

Analyze the effectiveness and employment of airborne systems operating in complex environments using tools such as AFSIM.
Develop, evaluate, and analyze tactics and concepts of employment for ground breaking technologies such as air platforms, sensors, countermeasures, and weapons including manned-unmanned vehicles.
Work with a team of analysts who will benefit from your experience, and senior engineers with whom you will guide the direction of analysis.
Have the opportunity to present your work through briefings to both technical specialists and pivotal decision makers.
Have opportunities to engage in independent research projects that encourage creative solutions and reward independent initiative.

Qualifications

You will meet our minimum qualification for the job if you…

Have a Bachelor’s degree in Mathematics, Engineering, Physics, Computer Science, or related area.
Have demonstrated excellence in conducting mission-level modeling, simulation, & analysis in the air-to-air domain with tools such as AFSIM or Brawler.
Are skilled in conducting quantitative analysis, rapidly learning new and exciting concepts.
Have strong scripting and programming skills with any of the following languages: Python, MATLAB, C/C++, or JAVA
Can work effectively in a highly collaborative environment and communicate sophisticated ideas directly with government civilians, military officers, and other contractors
Are able to obtain the associated required Special Access Program (SAP) level access.
Are able to obtain an Interim Secret level security clearance by your start date and can ultimately obtain a Top 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 a Master’s or PhD degree in a technical field listed above.
Have demonstrated excellence leading a team performing mission-level modeling, simulation & analysis
Have an active Top-Secret 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

$105,000 Annually

Maximum Rate

$245,000 Annually

Hybrid

Mid - Senior

$100,000 - $245,000

Description

Are you passionate about modeling and analyzing complex operational environments to explore innovative ways of creating impactful information from a wide-ranging ensemble of sensors and sources of data?

Do you want to advance US capabilities in Intelligence, Surveillance, Reconnaissance, and Targeting and Battle Management Command and Control (BMC2)?

If so, the ISR and Targeting Applications Group at the Applied Physics Lab is looking for you!

We are seeking a creative engineer and/or quantitative analyst to join our team and help us conceptualize, develop, test, assess, and field the next generation of ISRT, Counter-ISRT and BMC2 capabilities. Our dedicated team of engineers and analysts apply multidisciplinary fields such as sensor and data fusion, signal and image processing, operations research, applied physics, and artificial intelligence to build systems that automatically or autonomously orchestrate sensors, process data into information, and make intelligent inferences and predictions about complex threats and environments.

Our work is sophisticated, engaging, and frequently has significant impact enabling the US military to neutralize a wider variety of serious threats from safer distances than they could otherwise accomplish; improving the safety, survivability, and effectiveness of US air, naval, and ground forces; and disrupting the ability of potential adversaries to threaten our forces.

As a Modeling and Simulation Engineer / Analyst for ISRT and BMC2 Applications:

Your primary responsibility will be to contribute to teams developing mathematical / physics-based models, simulations, analytical methods and tools using Python, MATLAB, government software like AFSIM and other internal M&S tool-sets.
You will contribute to developing and analyzing new ISRT and BMC2 concepts and architectures.
You will learn the physics / engineering of key sensing and counter-sensing systems and contribute to updating existing models and crafting new models.
You will implement novel algorithms for multi-sensor data fusion and multi-sensor resource optimization methods into mission-level simulations.
You will perform software-in-the-loop testing to aid in planning, execution, and data analysis in support of field tests and experiments.
You will document and present your results to project leads, sponsors, and technical workshops, conferences and pivotal decision makers.

Qualifications

You meet our minimum qualifications for the job if you…

Have a Bachelor’s degree in a technical or scientific field such as Applied Mathematics, Physics, Engineering, Computer Science or another related field.
Have at least five years of relevant experience working with Modeling and Simulation.
Have demonstrated excellence applying and/or developing scientific and engineering models, simulations and data processing for statistical analysis using MATLAB, Python or C++ preferably in Linux environments.
Have strong inter-personal and written communications skills.
Can effectively work in a highly collaborative environment and communicate complex ideas to a variety of partners.
Have experience working with version control software and tools (Git/GitLab) on team M&S efforts.
Are willing and able to work a portion of the time in secure, closed areas and travel occasionally to government sites and contractor facilities (local and non-local).
Are able to obtain an Interim Secret level security clearance by your start date and can ultimately obtain a TS/SCI-level security 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 degree or PhD in one of the scientific or technical fields listed above.
Have demonstrated skills and experience with any of the following: data fusion, statistical analysis, mathematical optimization, mission-level modeling, RF sensing/physics, EOIR sensing/physics.
Have proven experience in ISR processes, systems, platforms, and sensors used by the military and intelligence community.
Have experience with M&S tools: AFSIM, STK, or similar software for mission level modeling and analysis.
Hold an active Secret, Top Secret, or TS/SCI-level 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

Radar Systems Engineer