Job Description
The role involves designing and implementing motion planning systems for autonomous vehicles, focusing on safe, efficient, and reliable navigation in complex environments, and collaborating with cross-functional teams to optimize autonomous driving performance.
Key Responsibilities
- Design, implement, and optimize the motion planning stack for autonomous vehicles.
- Develop and integrate planning algorithms such as lattice-based, sampling-based, and optimization-based methods.
- Generate collision-free, dynamically feasible trajectories considering perception, prediction, and control constraints.
- Collaborate with behavior planning, control, and mapping teams to ensure consistent planning behavior.
- Analyze simulation and on-road performance to identify and resolve failure cases involving traffic interactions and dynamic obstacles.
Requirements
- Ph.D. with 3 years of experience in robotics, motion planning, or autonomous systems or Master's degree 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 programming language, 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.
Benefits & Perks
Salary range: 180,000-260,000 USD
Onsite work schedule: 5 days a week at Mountain View, CA
Work environment perks: Collaborative, inclusive, and diverse company culture emphasizing respect, agility, and growth opportunities
Additional benefits: Opportunities to contribute to innovative autonomous vehicle technology, and be part of a leading company in autonomous middle-mile logistics
Ready to Apply?
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