Aurora delivers the benefits of self-driving technology safely, quickly, and broadly.
Pittsburgh, PA, US
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. Our software engineers work across the self-driving vehicle system, from algorithm design to high-performance embedded work to distributed implementations. We are developing robust, high performance, and highly reliable software.
- Architect and develop highly-reliable embedded software in a safety-critical environment.
- Develop embedded software to interface with new base vehicle platforms based on API specifications.
- Develop low-level drivers for interfaces like CAN, LIN, I2C, SPI, and Ethernet.
- Configure and optimize real-time operating system applications.
- Develop, debug, and test Ethernet and CAN-based bootloaders.
- Support hardware engineers with PCB bringup, debugging, and testing.
- Demonstrated experience in at least one of the following:
- Low level RTOS bring up and development.
- Embedded Linux bring up and driver development.
- BS/MS or PhD in Computer Science or a related field.
- Minimum 5 years related experience.
- Knowledge of both high- and low-level communication protocols, from I2C and SPI to CAN and TCP/IP Protocols.
- Excellent C or C++ programming, Python experience, and software design skills; expertise in other languages welcome.
- Experience developing comprehensive automated testing - from unit tests to hardware-in-the-loop tests
- Basic knowledge of electrical engineering fundamentals to support low level debugging.
- Experience with PTP, gPTP, and other Time Sensitive Networking Protocols.
- Experience configuring and developing drivers for Ethernet PHYs and Switches.
- Experience with software development processes for safety critical systems.
- Experience developing for both common and automotive specific RTOS implementations (FreeRTOS, SafeRTOS, QNX, AUTOSAR, etc.).
- Experience operating basic electronics test equipment such as multimeters, power supplies, and oscilloscopes.
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.