May 10
🏢 In-office - Bay Area
• Research and develop novel algorithms for motion planning • Write performant C++ code • Interface with all other teams in the behavior planning organization • Collaborate closely with engineers across prediction, perception, machine learning, mapping and localization, autonomy systems, and infrastructure • Take responsibility for the core motion planning stack by leading feature development and improvements around safety, comfort and scalability of the motion planning code • Provide technical guidance and mentorship for junior members of the behavior planning team • Write robust, production-ready software to make the vehicle safe and predictable in complex driving scenarios
• PhD in Robotics, Computer Science, mechanical/aerospace engineering, electrical engineering, with 3+ years of relevant industry experience or M.S. with 5+ years of relevant industry experience • Proven ability to collaborate within and across teams • Proven ability to lead technical development for safety critical planning systems for autonomous driving • Demonstrated effective communication skills and ability to articulate ideas and timelines to cross-functional groups • Research experience in one of: trajectory planning, motion planning, behavior planning, model predictive control, probabilistic robotics, optimal control, planning under uncertainty • Experience designing, implementing, and refining novel planning algorithms on real-world robot platforms • Strong C++ programming skills, algorithms and data structures knowledge, and software design experience • Strong math (geometry, analysis, probability), physics (kinematics, dynamics), and analytical skills
• Base pay is one part of the total compensation package • Annual performance bonus • Equity options • Competitive benefits package
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