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Aurora

Aurora delivers the benefits of self-driving technology safely, quickly, and broadly.

2021 Summer Internship - Software Engineering
Mountain View, CA, US
Pittsburgh, PA, US
San Francisco, CA, US
Job Description / Skills Required

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, 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.

If you’re passionate about helping solve one of the most ambitious robotics projects (ever!), we encourage you to join our team for an internship. Our philosophy is to have the students embedded with day-to-day engineers to help solve relevant challenges and making a direct impact on the product we’re building. There is nothing like “getting your hands dirty” and learn from the best.

We are looking for passionate, self-motivated students with programming experience in C++ and/or Python and a Computer Science/Robotics background. Some of the possible teams include: Simulation, Perception, Motion Planning, Localization, and Mapping.

Essential

  • Enrolled in a Bachelors, Masters or PhD program in Computer Science, Robotics or similar technical field of study.
  • Strong coding experience in C++ and/or Python.
  • Experience with data structures and algorithms.
  • Passion for solving challenging, impactful problems.

Desirable

  • Experience in at least one of: computer vision, simulation, machine learning, motion planning, SLAM, or robotics.
  • Strong mathematical skills, including linear algebra, numerical methods, and stochastic tools.

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 Amazon, T Rowe Price, and some of Silicon Valley’s best venture capital firms, including Sequoia, Greylock and Index Ventures.