Sorry. This page is not yet translated.

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

Technical Artist - Simulation
Mountain View, CA, 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.

Aurora hires people who are excited to build the future of transportation. We are searching for a Technical Artist to join our fast-growing Simulation team to help us build out a 3D synthetic world for our self-driving vehicle to drive in. 
  • Build assets for populating highly realistic virtual worlds
  • Design and implement procedural world creation tools for our simulation engineers
  • Define specifications for, and manage outsourcing of asset production, as needed
  • 3 - 5 years of experience in computer graphics production environments such as visual effects, film, animation or games
  • Experience with Houdini and procedural/automated methods for creating assets
  • Experience with Python and scripting
  • Experience with defining and implementing workflows and pipelines
  • Passion for solving challenging, impactful problems
Specializations (1 or more)
  • Procedural modeling and scene creation
  • Crowd systems
  • Vehicle and/or human modeling
  • Procedural surfacing and texturing
  • Experience with Universal Scene Description (USD)
  • Familiarity with machine learning topics

Working at Aurora

Our work has real purpose. Delivering the benefits of self-driving will save lives around the world, expand access to transportation, revitalize cities, and give people 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.