• 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