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

About the role

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

Requirements

• 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

Qualifications

• Experience with NVIDIA Jetson or similar GPU-enabled embedded platforms
• Familiarity with CUDA and CPU/GPU profiling
• Experience with Docker or containerization
• Experience with ML frameworks such as PyTorch or ONNX

Skills

• Experience with video or signal processing pipelines
• Prior experience working on ML-focused teams

Benefits

• Collaboration, continuous learning, and innovation culture
• Encouragement to leverage modern tools and technologies, including AI-assisted development
• Working closely with teammates to solve challenging mission problems

Pay

Negotiable based on experience and qualifications.

Schedule

Full-time, Monday through Friday.