Motion Planning Engineer, Self-Driving - San Francisco at Uber
San Francisco, CA, US

About the Role

We're looking for Engineers who are interested in creating decision making software for autonomous vehicles.


Come join our growing team and help us build dynamic, high-fidelity, control and decision making algorithms for our self-driving cars and trucks. Motion planning background i s not required - we are also interested in people passionate about the craft of code, problem solving for physical systems, and analytical thinking.

What You'll Do

  • Using real-world data gathered from over 3 million miles of autonomously driven roads, you will apply your knowledge of motion planning to help shape the behaviors of our self-driving uber.
  • How do I execute a lane change? How do I safely pickup and drop off a customer? How do I behave when merging with other traffic?

What You'll Need

  • BS or MS in Computer Science, Engineering, Math, Physics or related discipline
  • Excellent C++ skills in a Linux or other Unix environment
  • Proven ability to think analytically

Bonus Points

  • Experience with one or more of the following: motion planning, controls, perception, prediction, mapping, localization, performance evaluation for robotic systems
  • Experience with programming for physical systems.
  • Background involving optimization, physics, and/or computational simulation.
  • Experience with scripting languages (preferably python)

Keep up with the latest.

Get the latest updates from Norwest and insights into the venture capital world.