Design policies and plans to manage multi-actor interactions and plans under uncertainty
Work with other internal autonomy teams to help to continuously improve and refine the self-driving system
Requirements
Master or Ph.D. degree in Computer Science, Electric Engineering, Mechanical Engineering or a related field
Professional C++ experience designing any-angle robotic navigation algorithms such as Dijkstra, A*, D*, RRT, RRT* and RRG
Experience in at least one of: robotics research in motion planning, trajectory optimization, planning under uncertainty, probabilistic robotics, data analysis at scale, machine learning at scale
Experience in data structures and advanced algorithms
Experience in ROS is a plus.
Publications in top conferences/journals in a related field or equivalent experiences is a plus