The role involves providing technical leadership for onboard motion planning systems to enhance low-speed maneuvering performance. The individual will improve evaluation capabilities to better understand on-road performance and investigate driving behavior issues from logs to determine root causes. Responsibilities include developing foundational frameworks that advance the capabilities of the autonomous driving system. The position requires mentoring junior engineers and collaborating with cross-functional teams. Additionally, the role involves directly contributing to solving complex driving situations.

Candidates must possess an MS or PhD in Computer Science, Machine Learning, Robotics, or a similar technical field, or have at least 4 years of equivalent practical experience. Proficiency in C++ programming is required for developing robust and efficient code. The role necessitates at least 1 year of management experience with at least 5 direct reports. Strong collaboration skills are essential for working within and across teams.