+ Develop planning algorithms for trajectories + 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