we are looking for a hands-on technical leader to own and advance the Planning & Control domain – the core of our driving intelligence responsible for decision-making, behavior, motion planning, and safe vehicle control. This role is central to our affordable autonomous driving stack, connecting perception, agentic reasoning, and real-time execution.
Why us? You will lead the domain that transforms perception into action – building the brain that makes autonomous driving smooth, safe, and scalable for millions of vehicles.
Responsibilities
Lead the design and development of Planning & Control algorithms for L2+ up to Eyes-Off autonomy
Build and mentor a top-performing engineering team (planning, control, robotics, embedded)
Develop motion planning, trajectory optimization, and behavior layers integrated with our digital twin and edge-AI stack
Own robustness, performance, and safety across the decision pipeline
Define clean interfaces between perception, prediction, world model, and actuation modules
Drive hands-on development, architecture, and code reviews
Work with system engineering, product, fleet, and OEM/Tier-1 integration teams
Establish validation methodologies, scenario-based testing, and fleet-feedback loops
Why us? You will lead the domain that transforms perception into action – building the brain that makes autonomous driving smooth, safe, and scalable for millions of vehicles.
Responsibilities
Lead the design and development of Planning & Control algorithms for L2+ up to Eyes-Off autonomy
Build and mentor a top-performing engineering team (planning, control, robotics, embedded)
Develop motion planning, trajectory optimization, and behavior layers integrated with our digital twin and edge-AI stack
Own robustness, performance, and safety across the decision pipeline
Define clean interfaces between perception, prediction, world model, and actuation modules
Drive hands-on development, architecture, and code reviews
Work with system engineering, product, fleet, and OEM/Tier-1 integration teams
Establish validation methodologies, scenario-based testing, and fleet-feedback loops
Requirements:
5+ years in autonomous driving, robotics, planning, navigation, or control systems
Strong expertise in motion planning, trajectory generation, or control theory
Excellent C++/Python skills with real-time system experience
Demonstrated team leadership or tech-lead responsibility
Experience in automotive production environments (advantage)
Strong system-level thinking, ownership, and willingness to be hands-on
5+ years in autonomous driving, robotics, planning, navigation, or control systems
Strong expertise in motion planning, trajectory generation, or control theory
Excellent C++/Python skills with real-time system experience
Demonstrated team leadership or tech-lead responsibility
Experience in automotive production environments (advantage)
Strong system-level thinking, ownership, and willingness to be hands-on
This position is open to all candidates.
