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TITLE

 

Localization Engineer

COMPANY

 

Uber

LOCATION

 

San Francisco, CA, US

Description

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

This an opportunity for those with specializations in developing new real-time registration, localization and pose estimation algorithms from a variety of sensor and inertial data, and/or production-quality software development.
What You'll Do
Design, implement, test, and maintain real-time localization and mapping software 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
Highly skilled in probabilistic filtering theory, or geometric computer vision, or inertial pose theory
Extensive, demonstrable results in real-world applications
Good experience and experience programming in C++. Python skills are also desirable but not essential.
Shown ability to produce computationally intensive software that runs and produces high quality results in real time
Prior experience in any of pose estimation, probabilistic filtering, SLAM, nonlinear optimization, autonomy, networking, or user interfaces desired

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.

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