Motion Planning Engineer
- Write software that operates real autonomous aircraft systems including fighter aircraft, maritime surface vessels, group 1-5 unmanned aerial vehicles (UAVs), as well as simulated models to accomplish tactical military missions
- Build, leverage, and improve aerial autonomy software architectures that are ultimately tested and deployed on real systems to accomplish military missions
- Collaborate with DoD warfighter domain experts and 3rd party UAS vehicle vendors to develop and integrate aerial autonomy software onto OEM hardware
- 3-5 years of professional experience in autonomous vehicle motion planning, robotics, or a related field.
- Experience in 3D+ path planning using sampling based methods such as RRT* or similar.
- Experience in 2/2.5D grid based planning methods such as A* or similar.
- Experience developing autonomy algorithms in either C++ or Python
- Experience developing or implementing outer-loop control systems
- Strong functional, procedural, data-oriented, and object-oriented programming experience
- Experience using git, Visual Studio Code, GitLab
- Must be willing to travel as projects requires; estimated average travel is once every other month for between 2 days up to 1 week (~20%)
- Must be a U.S. Citizen
- Must hold or be eligible for a U.S. Secret security clearance
- Experience with UAS GNC/navigation systems such as PX4 and Ardupilot
- Ability to use data visualization and debugging tools to support autonomy control development
- Experience developing in Docker and containerized development environments, using Linux-based operating systems (e.g., RHEL, Ubuntu), source control systems, and artifact registries
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