Perception & Fusion Engineer

Develops real-time perception, sensor-control, and fusion software for heterogeneous autonomous vehicle platforms, integrating ML algorithms across sensors and embedded systems. Requires advanced engineering education or 5+ years of relevant experience, multi-modal sensing expertise, Linux/Docker proficiency, and U.S. security-clearance eligibility.

About the job

Responsibilities

Develop, integrate, and adapt AI/ML algorithms for perception autonomy stacks across heterogeneous autonomous vehicle platforms.
Create software interfaces to autonomously control EO, IR, acoustics, radar, and RF sensors.
Collaborate with sensor, tracking, and autonomy teams to deploy platform swarms during on-site DoD testing and demonstrations.
Deploy containerized solutions to embedded Linux devices using computer-in-the-loop testing, profiling, and performance-data collection.
Work with DoD customers to understand use cases and requirements, triage technical needs, and support field events.
Triage technical problems, scope work, and communicate and document progress for internal and external stakeholders.
Develop simulation tooling to replay sensor, platform, and autonomy data for post-processing field-test analysis.
Implement improvements for future integration efforts based on simulation results and customer feedback.
Travel approximately 10–20% for software/hardware integration and demonstrations, typically every 1–2 months for 2–5 days.

Requirements

MS or PhD in Electrical Engineering, Computer Engineering, Robotics Engineering, Computer Science, Optimization, or equivalent, or 5+ years of relevant experience with sensor algorithms, hardware, and HIL software integration.
Experience with multiple sensor modalities, such as EO, IR, lidar, radar, sonar, and acoustics.
Understanding of sensor physics and sensor control parameters.
Experience training and deploying ML algorithms onto integrated systems.
Experience with estimation, tracking, and sensor-fusion algorithms.
Comfortable working in Linux and Docker.
Experience with remote software development and processing large datasets.
Ability to learn new software and algorithms with limited supervision.
Must be a U.S. citizen and hold or be eligible to obtain and maintain a U.S. security clearance.

Nice to Have

Modern C++ development, including C++11, C++17, C++20, and smart pointers.
CMake, Python, and Bash.
PhD in Computer Science or Electrical Engineering with an AI/ML focus.
Experience with robotic swarm or multi-agent systems and optimization.
Strong tracking and sensor-fusion background.
Current U.S. Secret security clearance.

Compensation

Base salary: $200,000–$275,000 annually.
Eligible compensation may also include equity, comprehensive health, dental, vision, life and disability insurance, 401(k) matching, learning and wellness stipends, and paid time off.