Staff Software Engineer, Learned & Hybrid Behavior Planning
Core
Integrating learned models into the behavior planning stack for autonomous trucking and defense applications.
Role type
Staff Software Engineer (Autonomous Planning & ML Integration)
Builds
Production autonomy stack for commercial trucking and U.S. Department of Defense capabilities
Domain
Autonomous ground transportation / Robotics / Commercial Trucking
Deliverable
production ML models
Required skills
Behavior planning, Decision-making, Motion planning, Heuristic/classical planning systems, Learned behavior policies, Trajectory prediction, Actor intent modeling, Safety reasoning, System evaluation, C++
Preferred skills
Python, Simulation, Real-world autonomy data analysis
Technologies
C++, Python
Responsibilities
Lead integration of learned models into behavior planning, Collaborate with ML teams on model deployment, Design strategies balancing learned and heuristic components, Define validation and safety criteria, Debug model behavior using simulation and logs, Mentor engineers
Seniority
Staff, hands-on IC with technical leadership