Embedded Software Engineer - Edge ML/Low SWaP Systems - R138

Expedition Technology; Herndon (VA); On-site; USD 110,000 - 150,000; Full time

Benefits offered by this job

Company-paid medical insurance

Generous paid time off

401(k) Plan with match

Job summary

Expedition Technology (EXP) seeks an Embedded Software Engineer to deploy and optimize ML and data processing on GPU-enabled embedded platforms (e.g., NVIDIA Jetson). You will push real-time performance in SWaP-constrained environments, working with Linux, containers, and cross-disciplinary teams.

Join a mission-focused team at EXP headquartered in Northern Virginia, enjoying strong benefits and a culture that values initiative, collaboration, and growth while supporting security-clearance

Qualifications

• U.S. citizenship and TS/SCI clearance required.
• Experience deploying software/algorithms to embedded or edge systems.
• Proficiency in Python and Linux.
• Strong problem-solving skills across software and hardware domains.
• Ability to work in Linux-based environments and deliver production-ready code.

Responsibilities

• Deploy and optimize computer vision, signal processing, or data processing algorithms on embedded hardware.
• Improve real-time, low-latency ML pipelines on constrained systems.
• Profile CPU/GPU performance and identify bottlenecks.
• Collaborate on algorithm selection based on hardware constraints.
• Containerize and deploy solutions using Docker and CI/CD practices.

Skills

Python

Linux

Embedded deployment

Problem solving

Tools

NVIDIA Jetson

Docker

CUDA

PyTorch

ONNX

Job description

At Expedition Technology (EXP), we solve the nation’s toughest defense and intelligence challenges through advanced analytics, machine learning, and software engineering. Our teams work at the intersection of mission and innovation, delivering impactful capabilities in real-world environments.

We are seeking an Embedded Software Engineer to support the deployment of advanced data processing and machine learning solutions to low size, weight, and power (SWaP) systems. This role focuses on optimizing and deploying algorithms to GPU-enabled embedded platforms (e.g., NVIDIA Jetson) for real-time applications.

What You’ll Do

• Deploy and optimize computer vision, signal processing, or data processing algorithms on embedded hardware
• Improve real-time, low-latency performance of ML pipelines on constrained systems
• Profile CPU/GPU performance and identify system bottlenecks
• Collaborate on algorithm selection based on hardware constraints
• Containerize and deploy solutions using tools like Docker
• Work in Linux-based environments and contribute to production-quality code
• Partner with ML and software engineers to transition models into operational environments

Required Qualifications

• United States Citizenship – for US Government security clearance eligibility
• Active Top Secret/SCI (TS/SCI) security clearance
• Experience deploying software or algorithms to embedded or edge systems
• Proficiency in Python or ability to learn quickly
• Experience working in Linux environments
• Experience optimizing performance in constrained environments
• Strong problem-solving skills across software and hardware domains

Preferred Qualifications

• Experience with NVIDIA Jetson or similar GPU-enabled embedded platforms
• Experience with video or signal processing pipelines
• Familiarity with CUDA and CPU/GPU profiling
• Experience with Docker or containerization
• Experience with ML frameworks such as PyTorch or ONNX
• Prior experience working on ML-focused teams

Additional Information

This role is focused on embedded systems with GPU acceleration rather than traditional microcontroller or FPGA-centric work. Candidates should be comfortable working across the full lifecycle of algorithm development and deployment in performance-sensitive environments.

Who is Expedition Technology?

Expedition Technology (EXP) designs, develops, and delivers innovative solutions with national impact for the defense and intelligence communities. We use machine learning, artificial intelligence, and other advanced algorithms, platforms, and technologies to solve our customers' most complex, demanding and urgent C4ISR challenges. Our culture promotes individual growth and opportunity, prioritizes a collaborative team spirit, and invites the intellectually curious to solve challenging problems creatively. Headquarted in Northern Virginia's high-tech corrdor, EXP is a rapidly growing, privately held company that pushes the boundaries of what is possible every day.

Join Our Team and Enjoy Exceptional Benefits!

Benefits

• Company-paid medical, dental, and vision insurance
• Generous Time Off: Enjoy 11 paid holidays, up to 34 days of PTO
• Robust 401(k) Plan: Benefit from up to a 12% company contribution, including a 3% safe harbor, 6% match, and up to 3% additional as a form of profit sharing.
• Student Loan Repayment: Take advantage of our unique option to reallocate a portion of your 401(k) match funds to repay student loans, helping you achieve financial freedom faster.
• Paid Parental Leave: Six weeks of paid leave for the primary caregiver and 2 weeks of paid leave for the secondary caregiver for you to bond with your new family member.
• Tuition Reimbursement: Pursue further education with up to $5,250/year available to support your continuous learning and growth.
• Referral Bonus Program: Earn rewards for bringing talented individuals into our team.
• Exclusive Entertainment Perks: Enjoy free tickets to sporting events, theater, concerts, and more, adding fun and excitement to your life.
• Onsite Amenities: Stay fit and healthy with our free, onsite fitness center, active workstations featuring treadmill and bike desks, and enjoy our onsite cafeteria with reduced-cost options.
• Inspiring Work Culture: Thrive in a collaborative, creative, and supportive culture where you are encouraged to push boundaries, take risks, and enjoy the rewards.

Join us and be part of a team that values your well-being and professional growth.

EXP is proud to be an Equal Opportunity Employer that believes a diverse range of talent creates an environment that fosters creativity and innovation

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, genetic information, or protected veteran status.