Aurora delivers the benefits of self-driving technology safely, quickly, and broadly.
Pittsburgh, PA, US
San Francisco, CA, US
At Aurora, we’re on a mission to deliver the benefits of self-driving technology safely, quickly, and broadly. It all starts with the Aurora Driver, a platform created from industry-leading hardware and software and designed to adapt across a variety of vehicle types and industries.
We’re led by a team of self-driving luminaries, and we’ve forged strategic partnerships with leading transportation companies—including ride-hailing network Uber, truck-manufacturers PACCAR and Volvo Trucks, and the world’s largest automaker Toyota—setting us up to deliver the Aurora Driver in both trucks and passenger vehicles. We are funded by Amazon, Uber, T Rowe Price, and some of Silicon Valley’s best venture capital firms, including Sequoia, Greylock, and Index Ventures.
Aurora is in the best position to lead the self-driving space with a team of unparalleled depth and expertise, the technology to deliver, and the partnerships to build a transformative business for the long-term.
Aurora hires talented people with diverse backgrounds who are ready to help build a transportation ecosystem that will make our roads safer, get crucial goods where they need to go, and make mobility more efficient and accessible for all. We’re searching for a Staff Motion Planning engineer to help develop and implement core algorithms for making intelligent driving decisions in complex environments.
In this role, you will
- Develop motion planning algorithms for comfortable and safe trajectories for a self-driving vehicle
- Develop policies and plans to manage multi-actor interactions and plans under uncertainty
- Model vehicle and controller dynamics and use these models to characterize and accelerate controller improvements
- Develop and implement production-grade algorithms.
- Build learning approaches that adapt the above algorithms in the presence of data
- BS, MS, or PhD in Robotics, Computer Science or related field
- Strong C++ programming and software design skills
- Familiarity with modern planning approaches including randomized search methods and trajectory optimization and modern model predictive control and other advanced control techniques
- Knowledge of machine learning and the interplay between learning and decision making
- Experience in designing and building state of the art machine learning algorithms
- Experience with adaptive control, system identification, and statistical and machine learning methods
- Experience with embedded Linux and real-time systems
Working at Aurora
At Aurora, we bring together people with extraordinary talent and experience united by the strength of our values. We operate with integrity, set outrageous goals, and continue to build a culture where we win together—all without any jerks.
We have offices in Pittsburgh, Mountain View, San Francisco, Bozeman, Dallas and Seattle. We also offer a competitive benefits package that supports the whole you, including:
- Competitive salary, bonus and RSU package
- Premium choices for Medical, vision, and dental
- 401k benefits
- Life and disability benefits
- 18 weeks paid leave for new parents and caregivers
- Flexible vacation and company paid holidays
- Fertility benefits through Carrot
- Working from home support
- Professional growth and mentorship opportunities through the Aurora Academy
- Wellness Platforms (Spring Health, Headspace, Aaptiv, Quit Genius)
We believe that self-driving technology has broad benefits – including an increase in safety and access to transportation – and to achieve those benefits, we want and need a workforce with diverse experiences, insights, and perspectives; said another way, a workforce that reflects the communities and people our technology will benefit.
Individuals seeking employment at Aurora are considered without regard to race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, pregnancy status, parent or caregiver status, ancestry, political affiliation, veteran and/or military status, physical or mental disability, or any other status protected by federal or state law.
Founded in 2017, Aurora was started by industry luminaries, and now we’re a team with a multitude of perspectives and experiences. 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 Model X and Autopilot programs. Drew Bagnell, also a Carnegie Mellon alum, is a machine learning expert who helped build Uber’s autonomy effort. Regarded as the most experienced leadership team in the industry, these three bring decades of expertise, passion and focus to realizing our mission.