• Implement autonomous vehicle motion planning and control using SOMA (company prediction model) for intelligent navigation around pedestrians, cyclists, and vehicles.

• Develop motion planning algorithms for autonomous vehicles in dynamic environments following industry best practices.

• Develop an autonomous driving framework with a simulator to measure key metrics and assess input effects on driving performance.

• Continuously research, experiment with and integrate the latest trends in autonomous vehicle planning, including trajectory

generation and control optimization.

• Develop motion planning algorithms for safe, comfortable trajectories that enable efficient and accurate maneuver decisions.

• Develop motion planning algorithms for Lane Centering, Automatic Lane Change, Lane Keep Assist, and Automatic Parking.

• Analyze data to assess and improve system performance.

• Integrate, test, improve, and specify hardware and software for motion planning systems.