Job Description
The role involves designing and implementing motion planning and decision-making systems for autonomous vehicles, focusing on safe and efficient navigation in complex environments. The position requires collaboration with cross-functional teams to develop real-time trajectory generation and optimize autonomous driving performance.
Key Responsibilities
- Design, implement, and optimize the motion planning stack for autonomous vehicles.
- Develop lattice-based, sampling-based, and optimization-based planners for trajectory generation.
- Integrate perception, prediction, and control constraints to generate context-aware motion plans.
- Collaborate with behavior planning, control, and mapping teams to ensure robust planning.
- Maintain and optimize C++ infrastructure for real-time trajectory generation and evaluation.
- Analyze simulation and on-road performance to identify and resolve failure cases.
Requirements
- Ph.D. with 3 years or Master’s with 5 years of experience in robotics, motion planning, or autonomous systems.
- Deep expertise in at least two of the following areas: lattice-based planning, trajectory optimization, model predictive control, or search-based planning.
- Strong proficiency in C++, with experience in production-quality code for real-time or safety-critical systems.
- Solid understanding of vehicle dynamics, control interfaces, and motion feasibility constraints.
- Experience with simulation tools and debugging motion planner behavior in realistic driving environments.
- Onsite work at the Mountain View, CA office 5 days a week.
Benefits & Perks
Salary range of 180,000-260,000 USD
Onsite work schedule, 5 days a week
Collaborative work environment with cross-functional teams
Opportunity to work on innovative autonomous vehicle technology
Diverse and inclusive company culture
Potential for professional growth and development in autonomous systems
Ready to Apply?
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