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Engineering Manager, Self-Driving, San Francisco






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


Uber ATG is seeking an Engineering Manager to join our team who primarily has impact through organizing the work of others. 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.

What You’ll Do

  • Access Uber's planet-scale data store while gaining subject matter expertise in various parts of the autonomy stack

  • 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

  • Work with an outstanding engineering team and the support of an established data infrastructure

  • Benefit from working at a dynamic startup inside an established, well-capitalized company

  • Get in at the beginning as we grow the data science team


What You’ll Need

  • People management experience: You have the management playbook to nurture careers, manage under and over-performers, influence cross-functional teams, and recruit and build teams

  • Skills as a full-stack data scientist: Equally proficient in software development, statistics, machine learning, big data, and visualization research and product experience 

  • Fast learner: We're looking for an Engineering Manager who thrives on learning new technologies and doesn't believe in one-size-fits-all solutions -- you should be able to adapt easily to meet the needs of our massive growth and rapidly evolving business environment

  • Action: You think a working proof-of-concept is the best way to make a point, and you thrive on the belief that quality doesn't have to be compromised to achieve speed - you can have both at the same time

  • Versatility: In addition to having an intimate knowledge of core engineering fields, you understand how all the pieces fit together into integrated systems, and how they impact performance

  • Passion: You feel ownership over everything you ship; you'd never call code "released" until you're sure it's correct; you pride yourself on efficient monitoring, excellent documentation, and proper test coverage

  • Team player mentality: You believe that you can achieve more on a team - that the whole is greater than the sum of its parts

  • Design and business acumen: Whether you're working on an API used by other developers, an internal tool consumed by our operation teams, or a feature used by millions of customers, your attention to details leads to a delightful user 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, 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.


Engineering Managers are responsible for leading teams that build software on and off the Autonomous Vehicle. We have opportunities in both Pittsburgh and San Francisco.

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