Software Engineer - Motion Planning (Fallback Stack)

You will design and ship deterministic, safety-critical planning systems for autonomous vehicles operating under degradation and uncertainty. You will build fallback planners, evaluate their performance with simulation and real-world data, develop analysis tools, and collaborate across autonomy and safety functions.

Responsibilities

• Design and implement classical or ML motion planners for fallback and minimal-risk maneuvers
• Build planners that operate under degraded perception, partial observability, and system faults
• Define and execute deterministic vehicle motions including slow-downs, pull-overs, and safe stops
• Evaluate planner behavior using simulation and real-world data
• Develop metrics, analysis tools, and dashboards for planner performance
• Collaborate with behavior prediction, perception, controls, safety, and remote assistance teams
• Contribute to a reusable fallback platform

Requirements

• 4+ years of motion planning experience for autonomous vehicles or robotics
• Knowledge of robotic motion planning algorithms and trajectory generation
• Experience building deterministic, safety-critical planning systems
• Experience with large-scale evaluation, debugging, and planning-behavior tuning
• C++ proficiency and real-time systems experience
• Systems thinking and cross-functional collaboration skills
• Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field

Benefits

• Equity
• Health, dental, vision, life, and disability insurance
• 401k retirement benefits with employer match
• Learning and wellness stipends
• Paid time off