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TITLE

 

Localization Engineer, Self-Driving - San Francisco

COMPANY

 

Uber

LOCATION

 

San Francisco, CA, US

Description

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 applicationsSolid understanding of 3D spatial mathematics concepts

Bonus Points If

  • GPS signal processing experience
  • Experience with techniques or applications for nonlinear optimization (e.g., nonlinear least squares, bundle adjustment, pose graph optimization)
  • Python development experience
  • Minimum 3 years of industry experience

Apply for the job

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