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Improving the driving behaviors of the robot on public roads by developing the next generation of algorithmic improvements to expand the robot's ability to drive in some of the most complex situations found on public roads.

Requirements

• Fluency in C++
• Understanding of configuration spaces and a variety of planning techniques (A*, RRTs, PRMs, etc.)
• Demonstrated ability to create real-time motion planning algorithms
• Significant contributions to geometric- and/or sampling-based planning algorithms
• Experience with autonomous robots and machine learning or data-driven development processes
• Experience with ROS, pose estimation, SLAM, probabilistic filtering, 3D data, or CUDA

Responsibilities

• Create principled algorithmic improvements to specific areas of driving behavior and implement those changes in our code base.
• Use our extensive backend tooling to test your changes across many different driving situations at the press of a button.
• Lead on-vehicle drive reviews to generate actionable feedback on driving performance.
• Attend conferences and survey literature to stay informed on the most recent developments in the fields of Robotics and Motion Planning.
• Write and file patents for novel technologies you develop.

Other

• Master's degree in Computer Science or related field and 8+ years of experience
• teamwork and collaboration across a broad set of experts spanning Planner, Perception, Prediction, Operations, and more.
• take a measured approach – develop a principled modification to the Planner, test in simulation and on closed courses, and team up with our safety drivers for on-road testing.
• Use this experience to help the team learn and make improvements.