Robotics Engineer, Software – New Grad
Aerobotix
Python
Job Level
Mid-LevelSenior
Tech Stack
Python
About the role
- NODA is a veteran-owned, venture-backed technology company building distributed orchestration for autonomous unmanned systems across air, sea, land, and space.
- Design and implement the autonomy stack that powers adaptive multi-vehicle orchestration, focusing on mission planning, path generation, behavior execution, and task allocation.
- Work at the intersection of AI reasoning frameworks, ROS2-based autonomy stacks, and distributed multi-agent systems to ensure reliable real-world execution.
- 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) and conduct simulation-in-loop and hardware-in-loop testing.
- Contribute to safety, reliability, and compliance practices for defense-relevant missions and collaborate across AI, networking, and systems engineering teams.
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).
- U.S. Citizenship with ability to obtain a clearance.
- Experience with multi-agent coordination and swarm robotics (preferred).
- Exposure to autonomous vehicle domains (UAVs, UUVs, USVs) (preferred).
- Familiarity with MAVLink, JAUS, or STANAG 4586 protocols (preferred).
- Background in AI planning, reinforcement learning, or constraint solvers (preferred).
- Experience optimizing autonomy for embedded/real-time performance (preferred).
- Prior exposure to defense or aerospace autonomy systems (preferred).
- Contributions to open-source robotics or autonomy projects (preferred).
- Systems thinker, strong problem-solving, cross-disciplinary collaborator, detail-oriented and safety-focused.