- 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