- San Francisco
- Pittsburgh, PA
- Mountain View
- Date Posted
- Jun. 1, 2021
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. The Safety Engineering team at Aurora is seeking a candidate with expertise in software architecture, engineering, and integration of safety- and mission- critical software systems. In this role you will be responsible for working on developing the safety concepts for our Autonomy System. The ideal candidate will have a strong understanding of developing requirements, and V&V approaches for the safety critical systems. Collaboration and teamwork are essential for bringing various stakeholders together, and guide implementation decisions across different disciplines.
Familiarity and experience with design, and safety standards in the aerospace, automotive or robotics space is strongly preferred.
- Lead all functional safety activities in collaboration with internal and customer stakeholders, specifying safety requirements and safety concepts for system, hardware, and software architectures
- Develop functional and SOTIF safety requirements and roadmap for all vehicle and subsystem level safety requirements
- Develop and document detailed validation and verification plans for ensuring safety requirements are met
- Define and establish practices to achieve and maintain a continuous safety case
- Manage a team of extremely talented system safety engineers
- Strong engineering fundamentals
- Experience managing a technical team for at least 5 years
- Two or more years experience designing, developing, and validating safety critical systems
- One year or more of experience performing engineering analysis in systems engineering, control dynamics, motion planning or engineering related disciplines
- Familiarity with one or more domain specific areas like Controls, Dynamics, Perception, Motion Planning, Vehicle EE platform etc.
- Experience developing functional safety requirements for software sub-components of T1 suppliers from system-level ASIL requirements
- Practical industry experience applying functional safety standards to software within the automotive industry.
- Direct, measurable impact on the design, development and launch of an exceptional product
- Experience with machine learning algorithms or motion planning algorithms
- Experience in the design or development of Autonomous Systems
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.