September 4
🏢 In-office - Bay Area
• Design and implement novel robotics and machine learning technologies for maneuver planning in semi-structured environments, such as parking. • Work cross-functionally with engineers across behavior, perception, mapping, and ML research to advance the state-of-the-art in autonomous driving. • Implement practical solutions with production-ready software, to deploy new technologies on real vehicle platforms in a safe, performant, and scalable way. • Provide technical guidance and mentorship to junior members of the behavior team
• PhD or Masters Degree in robotics, computer science, mechanical/aerospace engineering, electrical engineering, mathematics, or related field. • Robotics expertise in areas such as path planning, motion planning, trajectory generation, behavior planning, optimal control. • Machine learning experience with techniques such as deep learning, reinforcement learning, imitation learning, transformers, and diffusion models. • Strong software development skills and Python/C++ coding proficiency (C++ preferred). • Ability to collaborate within and across teams and derive best solutions from cross-functional interactions. • Desire to work at the edge of research and development, bringing algorithms from research into production. • Plus: hands-on experience developing software for safety-critical systems.
• Eligible for annual performance bonus • Equity • Competitive benefits package
Apply Now