Skip to main content

Tell us your location

Please enter your nearest city name to help us display the correct information for your area

Select your language

Engineering Manager - Motion Planning, Self-Driving

Software, Advanced Technologies Group in Pittsburgh, PA

At Uber, we ignite opportunity by setting the world in motion. We take on big problems to help drivers, riders, delivery partners, and eaters get moving in more than 600 cities around the world.



We welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently. If you have the curiosity, passion, and collaborative spirit, work with us, and let’s move the world forward, together.

About the Role



The Motion Planning team at Uber ATG is seeking an Engineering Manager to join our team who can impact through organizing the work of others and leading cross-team efforts to improve Self-Driving technology. Working at the intersection of technology and people, you will balance long-term direction, health of the team, and individual careers of team members to ensure success in all these dimensions.

Additional Locations:

What You’ll Do
  • Lead teams to improve overall motion planner to make safe, fast, and efficient decisions.
  • Develop innovative strategies to safely test autonomy and implement frameworks to measure, analyze, and track system performance
  • Responsible to manage a team of at least 10 and work closely with recruiting to evaluate candidates and grow the team
  • Responsible for professional growth of team members and maintaining overall team health
  • Learn from world-renowned practitioners of robotics, mapping, perception, logistics, machine learning, motion planning, mobile communications, and other fields
  • See your work deployed fast and often into the real world and stretch yourself as you switch from one tough problem to another
  • Benefit from working at a dynamic startup inside an established, well-capitalized company


 What you Need

  • 10+ years experience in autonomous systems, motion planning, robotics or related field
  • 3+ years management experience building and growing teams
  • Experience with system integration and testing
  • Experience with software development best practices
  • MS or PhD in Robotics, Computer Science, Engineering, Math, Physics or related discipline

About the Team

Motion planning is the brain of an autonomous driving system. It handles the reasoning for driving behaviors and is one of our core challenges for making a self driving system a reality. The Motion Planning team is responsible for generating safe, comfortable and efficient plans for vehicle motion at Uber ATG.


At Uber Advanced Technologies Group (ATG), we are building technologies that will transform the way the world moves. Our teams in Pittsburgh, San Francisco, Toronto, and Boulder are dedicated to mapping, software and hardware development, vehicle safety, and operations for self-driving technology. Our teams are passionate about developing a self-driving system that will one day move people and things around more safely, efficiently, and cost effectively.


At Uber, we believe technology has the power to make transportation more efficient, accessible, and safer than ever before. Self-driving technology has the potential to make these benefits an everyday reality for our customers, but it’s not going to happen overnight. Building best-in-class self-driving technology will take time, and safety is our priority every step of the way. Operating inclusively and transparently, while displaying responsible behavior in a structured development are critical to safety. We at ATG seek candidates who will role model these values.

See our Candidate Privacy Statement

At Uber we don’t just accept difference—we celebrate it, we support it, and we thrive on it for the benefit of our employees, our products and our community. Uber is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.