Sorry. This page is not yet translated.

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

Software Engineer - Simulation
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.

Aurora hires people who are excited to build the future of transportation. We are searching for an experienced software engineer to join our Simulation team. This individual will contribute to the development of simulation architecture to enable Aurora’s self-driving stack to be trained, tested, prototyped and validated in a virtual environment. 


  • Automate and scale scenario creation from complex on-road experiences
  • Extend our simulation architecture to more efficiently simulate motion planning, localization, and controls real-world driving scenarios at scale
  • Create realistic simulated interactions between multiple actors
  • Implement physics models to simulate vehicle dynamics
  • Develop validation and metrics to grade the performance of our autonomous vehicle's software in simulation


  • Excellent C++ programming and software design skills
  • MS or PhD in Robotics, Computer Science, or similar technical field of study, or equivalent practical experience
  • 3+ years of industry experience programming C++ software 
  • 3+ years of experience in simulation, robotics, motion planning, or controls
  • Strong mathematical skills, including linear algebra, numerical methods, and stochastic methods
  • Passion for solving challenging, impactful problems 


  • Experience building simulations for industry or research
  • Experience with motion planning or behavior planning
  • Experience in the autonomous driving industry

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.