Path Planning Algorithm Team Leader

We are looking for a hands-on Path Planning Algorithm Team Leader to own and advance the core planning intelligence of our autonomy stack - responsible for generating safe, comfortable, and feasible driving paths in real-world environments.
This role combines deep technical contribution with team leadership: you will lead the development of path planning algorithms while mentoring engineers and driving execution across the planning domain.
This position is key to transforming perception and world understanding into actionable motion, enabling robust and scalable autonomous driving for millions of vehicles.
Responsibilities:
Lead the design and development of Path Planning algorithms for L2+ up to Eyes-Off autonomy
Serve as a hands-on technical leader: contribute directly to architecture, implementation, and debugging
Build and evolve planning components such as:
path generation and refinement
constraint-aware planning (lane geometry, static/dynamic obstacles, traffic rules)
optimization-based planning and feasibility checks
Mentor and guide engineers within the planning team through technical leadership, design reviews, and code reviews
Develop and improve planning modules integrated with our world model, digital twin, and edge-AI stack
Implement and optimize algorithms in C++ under real-time performance constraints
Work closely with perception, prediction, and control teams to define clean interfaces and ensure end-to-end robustness
Drive architecture discussions, technical roadmap planning, and best engineering practices
Contribute to validation methodologies, scenario-based testing, and fleet-feedback loops
Analyze corner cases and improve robustness across diverse driving scenarios.