Software Engineer - Mapping Aurora
San Francisco, CA

Job Description

Aurora Overview

Bringing self-driving vehicles to our roads is the most transformative opportunity of our generation. Aurora is taking a fresh start with the development of self-driving technology, combining excellence in AI, rigorous engineering, and a team with decades of experience building robots that work.

Led by a team of seasoned experts, including three of the world's leaders of self-driving technology, our mission is to deliver the benefits of self-driving technology safely, quickly, and broadly. We are designing the software and hardware to power the transportation of our future that will make our roads safer, give more people access to mobility, and reduce congestion and pollution in cities - improving the quality of life for all. The challenge in what we are endeavoring to achieve is transcendent; we are developing perhaps the world's most complex computing system and asking it to perform the task of transporting and keeping safe our most precious asset: human life.

We're looking for people who are as excited as we are to solve these complex problems and make this tremendous impact on our future, and who want to be surrounded by great people while we do it. We are searching for Software Engineers to architect, design, and develop our core mapping algorithms, data-structures and tools that enable autonomous operation.

Responsibilities

* Define our mapping architecture and approach
* Develop algorithms that create metrically correct descriptions of the world
* Develop data structures that enable efficient queries about static parts of the driving environment

Essential

* BS/MS or PhD in Robotics, Computer Science, or related field
* Excellent C++ programming and software design skills to support high performance perception
* Experience with perception sensors including LIDAR, radar, and cameras
* Expertise in the design of very large adaptive data structures and familiarity with mapping and localization

Desirable

* Experience with embedded Linux and real-time systems
* Machine learning and labeling experience

Working at Aurora

Our work has real purpose. Delivering self-driving will improve lives around the world, expanding access to transportation, revitalizing cities, giving people more time back every day.

We're one team. We're inspired by the challenge of what we're solving and the impact our work will have on society. Our camaraderie is built on respect for our work and the fundamental belief our success will be a result of working together.

The Founding Team

Aurora has assembled the most experienced leadership team in the space. Chris Urmson helped lead Carnegie Mellon's efforts in Darpa's Grand Challenges, then was a founding member of Google's self-driving team. Sterling Anderson worked on the tech at MIT before leading Tesla's Autopilot system. Drew Bagnell, also a Carnegie Mellon alum, is a machine learning expert who helped build Uber's autonomy effort. At Aurora, these three continue to bring experts from all areas of the industry to the team. We are funded by some of Silicon Valley's best venture capital firms, including Greylock and Index Ventures.