Automation Engineer- Autonomous Vehicle Maps

Uber Technologies, Inc.

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 job:


We are looking for experienced Automation Engineers capable of designing, implementing, bringing to production, and maintaining the advanced automation techniques for our Autonomous Vehicle Mapping team.  Automation Engineers on the Automation team will work closely with Engineers across the AV Maps team to support more automation in map production.  We need experienced Automation Engineers using the best tools and techniques to develop highly-reliable products in a collaborative and fast-paced environment.  

What you’ll do:

  • Use best principles in automation to introduce advanced analytics, automation, and machine learning techniques to the map production pipeline
  • Make informed tradeoffs and conduct studies to demonstrate the efficacy of your models in a production environment
  • Support the code and models you design and write in production


What you’ll need:

  • Experience building advanced analytics, automation, and machine learning techniques in C++ and python
  • Experience with machine learning frameworks such as TensorFlow
  • High bar for producing high-quality software
  • Familiarity and the ability to work with technologies such as Linux and git
  • Experience with extremely large data sets