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.
Leverage fleet‑scale data and hard‑case mining to close long‑tail gaps tied to KPI lift (e.g., MPI, NMC) and ensure robust generalization nationwide.
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 planners
tight latency and compute budgets
guided generative trajectory proposals
reinforcement learning techniques
fleet-scale data and hard-case mining
Nice-to-have
foundation models integration
production-grade autonomous driving experience
cross-functional roadmap influence
Key Requirements
10+ years experience in trajectory generation
MS or PhD in Machine Learning, Robotics, Computer Science
Deep expertise in trajectory generation for embodied AI
Strong background in large-scale imitation learning