Role Overview

This role focuses on defining and advancing learning‑based approaches for motion planning in autonomous systems. It involves setting the technical direction and delivering solutions that evolve from traditional rule‑based and optimization‑driven methods toward data‑driven techniques such as imitation learning, reinforcement learning, and diffusion‑based planning.

The position combines hands‑on technical leadership with ownership of the roadmap, ensuring that learning‑based planners are not only innovative but also practical, reliable, and ready for real‑world deployment. The emphasis is on delivering measurable improvements over existing planning approaches through robust engineering and evaluation.

Key Responsibilities

• Technical roadmap ownership: Define and execute a clear roadmap for learning‑based planning over a 12‑24 month horizon. Identify the most suitable methods, determine build vs. adopt decisions, and establish criter...