Job Directory Aurora Cloud Infrastructure Engineer
Aurora

Cloud Infrastructure Engineer Aurora
San Francisco, CA

Aurora works at the intersection of rigorous engineering and applied machine learning to transform the way people and goods move.

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About Aurora

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. Aurora hires people who want to build the future of transportation and the cloud infrastructure team is no different building the platform the rest of the company runs on!

Responsibilities

* Build and maintain massive data processing pipelines
* Design and implement robust backend services
* Develop cloud platform infrastructure

Essential

* Excellent coding/software engineering skills
* C++ and Java
* Experience working in a cloud environment (AWS, GCP, Azure, etc)

Desirable

* Expertise with Docker and Kubernetes
* Go
* Expertise in modern GPU hardware
* Experience with GPU and batch scheduling
* TensorFlow expertise

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.

About Aurora

Aurora works at the intersection of rigorous engineering and applied machine learning to transform the way people and goods move.

Headquarters
Size
340 employees
Aurora

429 Acacia Ave

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