Job Description
This role involves designing and implementing motion planning and decision-making systems for autonomous vehicles, ensuring safe and efficient navigation in real-world environments. The position requires collaboration across teams to develop robust planning algorithms for driverless middle-mile freight transportation.
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 robust 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
Work schedule - Onsite 5 days a week
Work environment perks - Collaborative, inclusive, diverse culture emphasizing respect and agility
Additional benefits - Opportunities for growth and success within a diverse and inclusive environment, contributing to a resilient supply chain and environmental sustainability
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