NODA is seeking an Autonomy AI Engineer to design and implement the autonomy stack that powers adaptive multi-vehicle orchestration, focusing on mission planning, path generation, behavior execution, and task allocation across heterogeneous fleets.
Requirements
- 3+ years experience developing autonomy or robotics systems.
- Proficiency in C++ and Python for real-time autonomy development.
- Strong hands-on experience with ROS2 and robotics middleware.
- Background in motion planning, navigation, and control systems.
- Experience with state estimation, sensor fusion, and autonomy validation.
- Familiarity with behavior trees, task allocation, or symbolic planners.
- Knowledge of simulation environments (Gazebo, Isaac Sim, AirSim, or equivalent)
Responsibilities
- Design and implement autonomy modules including path planning, task allocation, behavior trees, and reactive execution models.
- Develop and maintain the autonomy framework that integrates with orchestration (AI-driven mission planning) and world modeling.
- Ensure AI-generated plans are executable, explainable, and safe across multi-domain robotic platforms.
- Implement and validate navigation, control, and autonomy behaviors for UAVs, USVs, and UUVs using ROS2 and simulation environments.
- Profile and optimize autonomy performance for edge compute hardware (Jetson, Raspberry Pi-class devices).
- Conduct simulation-in-loop and hardware-in-loop testing to validate autonomy behaviors before live field deployment.
- Contribute to safety, reliability, and compliance practices for autonomy in defense-relevant missions.
Other
- U.S. Citizenship with ability to obtain a clearance.
- Travel requirement: up to 20% travel.
- Cross-disciplinary collaborator, comfortable working with AI, networking, and data engineering teams.
- Thrives in ambiguous, mission-driven problem spaces.
- Detail-oriented and safety-focused, with commitment to reliable autonomy in critical missions.
