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Deep Learning Autonomy Engineer






San Francisco, CA, US


About Uber

We’re changing the way people think about transportation. Not that long ago we were just an app to request premium black cars in a few metropolitan areas. Now we’re a part of the logistical fabric of more than 600 cities around the world. Whether it’s a ride, a sandwich, or a package, we use technology to give people what they want, when they want it.

For the people who drive with Uber, our app represents a flexible new way to earn money. For cities, we help strengthen local economies, improve access to transportation, and make streets safer.

And that’s just what we’re doing today. We’re thinking about the future, too. With teams working on autonomous trucking and self-driving cars, we’re in for the long haul. We’re reimagining how people and things move from one place to the next.
About the Role

As a deep learning engineer you will be designing and building deep learning features for self-driving cars and improving its perception, prediction, tracking, and motion planning capabilities. This is your chance to develop cutting-edge technology that will help change the future of transportation around the world!
What You'll Do
Prototype and develop deep learning driving systems, perception algorithms on Linux and embedded platforms
Protoype and develop systems for inference time optimization
What You'll Need
PhD or MS in Engineering, Mathematics or Computer Science
Excellent C/C++ programming and software design skills
Advanced experience in CUDA
Understanding of the backend DL frameworks such as neon, Torch or Tensorflow
Bonus Point If
Experience with HPC computing architecture
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, Phoenix, and Toronto 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.

The Perception Team's mission is to deliver deep learning based features that will contribute short term to both the car and truck programs, while developing solutions for the future of self-driving.

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