We are looking for a hands-on Senior Path Planning Algorithm Engineer to design and develop the core planning intelligence of our autonomy stack - responsible for generating safe, comfortable, and feasible driving paths in real-world environments.
This role is key to turning perception and world understanding into actionable motion, enabling robust and scalable autonomous driving for millions of vehicles.
Responsibilities:
Design and develop Path Planning algorithms for L2+ up to Eyes-Off autonomy
Build planning components such as:
path generation and refinement
constraint-aware planning (lane geometry, static/dynamic obstacles, traffic rules)
optimization-based planning and feasibility checks
Develop and improve planning modules integrated with our world model, digital twin, and edge-AI stack
Implement and optimize algorithms in C++ with real-time performance constraints
Work closely with perception, prediction, and control teams to define clean interfaces and ensure end-to-end robustness
Participate in architecture discussions, design reviews, and code reviews
Contribute to validation methodologies, scenario-based testing, and fleet-feedback loops
Analyze corner cases and improve robustness across diverse driving scenarios.
Requirements: 5+ years of experience in autonomous driving / robotics / motion planning / navigation / real-time systems
Strong expertise in Path Planning and/or optimization-based planning methods
Strong C++ skills (Python is a plus)
Experience working with real-time systems and performance-critical code
Strong problem-solving skills, end-to-end ownership, and ability to work independently
Experience in automotive production environments.
This position is open to all candidates.