Robotics Software Engineer (Autonomy)

We're looking for a Robotics Software Engineer to help advance our autonomous maritime systems. Our autonomy stack is already deployed and operating in real-world environments—you'll help extend its capabilities, improve performance in increasingly challenging conditions, and scale collaborative autonomy from small coordinated teams to large, multi-domain autonomous operations.

What It's Like to Work Here

We're a fast-paced engineering team that believes the best products are built by testing early, iterating often, and shipping quickly. Engineers have a high degree of ownership and work across the entire product lifecycle—from idea to deployment.

Field testing is a core part of how we build. We prefer to be on the water daily, validating new features, observing operators, and seeing our systems perform in real-world conditions. That direct connection between engineering and field operations helps us make better design decisions, move faster, and build products that solve real problems.

What You'll Work On

• Improve and extend our existing autonomy stack for unmanned maritime systems.
• Advance autonomous navigation in increasingly dynamic and congested waterways.
• Improve path planning, decision making, and obstacle avoidance in complex real-world environments.
• Help scale collaborative autonomy from today's small coordinated teams to large, heterogeneous fleets operating across maritime and multi-domain platforms.
• Develop autonomy that enables operators to confidently manage increasingly capable autonomous teams.
• Integrate heterogeneous sensor data to improve localization, perception, and autonomous decision-making.
• Optimize autonomy software for reliable, low-latency execution on edge compute platforms.
• Build robust deployment infrastructure for vehicles operating continuously in the field.
• Collaborate closely with perception, controls, frontend, and hardware engineers to rapidly prototype, test, and deploy new capabilities.

Requirements

• Strong experience with robotics, autonomous systems, or motion planning.
• Experience implementing mathematical path planning algorithms (A*, Graph Search, RRT, Potential Fields, MPC, or similar).
• Strong software development skills in C++, Python, or similar languages.
• Experience developing on Linux-based embedded systems (Yocto experience is a plus).
• Experience integrating multiple sensors such as cameras, radar, LiDAR, GPS, and IMUs.
• Understanding of localization, perception, navigation, and autonomous decision-making.
• Experience deploying and optimizing software on edge compute platforms.
• Familiarity with Git, CI/CD, and modern software engineering practices.

Nice to Have

• Experience with ROS2, NVIDIA Jetson, NVIDIA Holoscan, CUDA, or GPU-accelerated computing.
• Experience developing autonomy for USVs, UGVs, UAVs, or other robotic platforms.
• Experience with collaborative autonomy, multi-agent systems, or swarm robotics.
• Experience operating autonomous systems in real-world environments.
• Experience with distributed software deployment and embedded testing frameworks.