Embedded Software Engineer - Edge ML/Low SWaP Systems - R138 at Expedition Technology (Herndon, VA)
Expedition Technology· Herndon, VA·
Role details
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.
Why work at Expedition Technology
- Unique Management Structure: Replaces traditional “bosses” with “coaches” who advocate for career progression and connect employees to learning opportunities. Employees choose their own coach annually.
- Exceptional Benefits & Flexibility:
- Individual Benefit Account (IBA): Employees receive a pool of funds to allocate as they wish across healthcare, PTO, and a bonus. Unused IBA dollars are paid out at year-end.
- Flexible Cash PTO: Can take up to 45 days of PTO per calendar year and can cash out unused time.
- Retirement: Up to 12% contribution to a 401(k) (employer match/profit sharing) plus student loan repayment plans.
- Parental Leave: 12 weeks paid for primary caregivers; 2 weeks for secondary.
- Learning Culture: Autonomy to guide careers with support from coaches. Benefits include tuition assistance, conference attendance, and internal “brown bag” discussions.
- Mission-Driven Work: The opportunity to work on cutting-edge technology that directly impacts national security.
- Work Policy: Likely on-site or hybrid, given the classified nature of much of the work (Herndon, VA location).
- Commitment to Accessibility: Explicit accommodations policy for candidates with disabilities.