Aurora delivers the benefits of self-driving technology safely, quickly, and broadly.
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 Systems Engineering team at Aurora is seeking a candidate with expertise in software architecture, engineering, and integration of safety- and mission- critical software systems. The preferred candidate will have emerged from a strong software/hardware engineering background and gravitated towards ensuring that the system-as-a-whole works as expected. The role involves strong collaboration with core engineering teams at Aurora. A successful candidate will gain the respect of other engineers in the organization by virtue of his/her technical depth and its application to the big picture. This role is highly organized, mission driven, and possesses excellent communication.
Own the definition of vehicle behaviors, capabilities, and contexts
Concept of operations that captures sufficient detail to drive Safety Analysis, Platform Requirements, and feature/function definition.
Operational Design Domain (ODD) ontology.
Analysis of applicable policy/regulatory matters
Collaborate with Software Engineering and Safety Engineering to
Help define and analyze the system architectures for realizing needed capabilities.
Define system level requirements for AV capabilities, end-end behavior, and applicable performance metrics
Where appropriate, develop sub-system requirements with sufficient traceability and assist in establishing traceability workflows and tools
Collaboratively define, negotiate, and document interface contracts between various parts of the software architecture
Develop verification and validation plans and demonstrate coverage against requirements, in conjunction with software and safety teams.
Refine existing workflows and develop new ones to help streamline autonomous capability development and V&V
Minimum 4 years of experience with software architecture, engineering, and integration in safety- or mission- critical systems
Experience writing testable software requirements
Sound grasp of the elements of autonomous driving technology
Experience evaluating systems relative to automotive safety standards/guidelines (ISO 26262, SOTIF, MISRA etc.)
Strong organizational and communication skills; ability to effectively coordinate efforts and requirements across a large number of stakeholders across the organization
BS, MS, or better in Software Engineering or related STEM fields
Knowledge of middleware and communication frameworks like ROS, DDS, AUTOSAR
Proficiency in C++ and Python
Program management experience
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 developed MIT'S Intelligent CoPilot, then led the team that delivered Tesla Autopilot. 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.