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Localization Engineer, Self-Driving - Pittsburgh

Software, Advanced Technologies Group

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


We're looking for talented engineers to help develop the next generation localization and mapping systems for Uber’s fleet of self-driving vehicles. If you have experience working on solutions for state estimation (fusing measurements from a variety of sensor types within real-time estimators), lidar or image-based registration, Simultaneous Localization and Mapping (SLAM), nonlinear optimization, and/or large-scale mapping systems, we want to hear from you.

What You'll Do

  • Design, implement, test, and maintain real-time estimation software for localization and mapping that runs on self-driving Uber vehicles
  • Design, implement, test, and maintain localization and mapping software that runs offboard for optimization, analysis, testing, and verification
  • Analyze large datasets and work with raw sensor data
  • Collaborate cross-functionally with other engineering teams at Uber and communicate your work to colleagues and management


What You'll Need

  • MS/PhD degree in Computer Science or related engineering field
  • Experience developing production-quality software in C++
  • Highly skilled in one or more of the following areas:
    • Vehicle state estimation (real-time sensor fusion techniques including Bayesian/Kalman filters such as EKF / UKF); vehicle dynamics modeling
    • Lidar pointcloud registration
    • Geometric computer vision
    • Simultaneous Localization and Mapping (SLAM)
    • Techniques for nonlinear optimization
    • Processing raw sensor measurements, including inertial sensors
  • Experience with C++ programming operating on Linux, with modern tool chains and development work practices
  • Extensive, demonstrable results in real-world applications
  • Solid understanding of 3D spatial mathematics concepts

Bonus Points If

  • GPS signal processing experience
  • Experience with relevant applications of nonlinear optimization techniques such as bundle adjustment or pose graph optimization
  • Python development experience
  • Minimum 3 years of industry experience


About the Team


At the 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.


We are a group of diverse researchers, engineers, and computer scientists working to develop accurate localization and mapping systems for self-driving vehicles. Reliability and scalability are key drivers for us as our software must perform across a large fleet of vehicles in large and diverse operating areas.


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.