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

About the Role

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.

Responsibilities

• 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

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.

About 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. Headquartered in Northern Virginia's high-tech corridor, EXP is a rapidly growing, privately held company that pushes the boundaries of what is possible every day.

Benefits

• Company-paid medical, dental, and vision insurance
• Generous Time Off: 11 paid holidays, up to 34 days of PTO
• Robust 401(k) Plan: 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: Option to reallocate a portion of 401(k) match funds to repay student loans
• Paid Parental Leave: 6 weeks for primary caregiver, 2 weeks for secondary caregiver
• Tuition Reimbursement: Up to $5,250/year
• Referral Bonus Program
• Exclusive Entertainment Perks: Free tickets to sporting events, theater, concerts, etc.
• Onsite Amenities: Free fitness center, active workstations, onsite cafeteria with reduced-cost options
• Inspiring Work Culture: Collaborative, creative, and supportive environment

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.