Own the technical vision, architecture, and quality bars for the planning stack from sensors to trajectories including but not limited to a modern ML planner with multi-stage training
Job Summary
Own the technical vision, architecture, and quality bars for the planning stack from sensors to trajectories including but not limited to a modern ML planner with multi-stage training.
Design and ship real‑time planners that meet tight latency and compute budgets while delivering best‑in‑class safety, comfort, and robustness.
Set the experimentation standards and roadmap for this critical part of the autonomy system.
Matching Summary
Own the technical vision, architecture, and quality bars for the planning stack from sensors to trajectories including but not limited to a modern ML planner with multi-stage training.
Skills & Requirements
Must-have
ML trajectory generation planning stack
real-time trajectory planners
fleet-scale data and hard-case mining
rigorous ablations and failure analysis
technical leadership and roadmap influence
Nice-to-have
foundation models integration
production-grade autonomous driving experience
generative model methods for trajectory proposals
reinforcement learning for policy optimization
Key Requirements
10+ years of experience
MS or PhD in Machine Learning, Robotics, Computer Science
Deep expertise in trajectory generation for embodied AI
Strong background in large-scale imitation learning
Solid understanding of real-time and onboard deployment constraints
Experience with uncertainty estimation, distribution shift, and failure analysis
Deep understanding of machine learning foundations and latest AI trends