Sorry. This page is not yet translated.
Congratulations, Innovid!

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

Systems Engineer - Autonomy
Mountain View, CA, US
Pittsburgh, PA, US
Job Description / Skills Required

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 Systems Engineer, Autonomy.

Aurora’s Systems Engineers work closely with engineering design teams to develop sound and implementable design concepts and requirements. Collaboration and teamwork are essential for bringing various stakeholders together, and guide implementation decisions across different disciplines.Aurora’s Systems Engineers work closely with engineering design teams to develop sound and implementable design concepts and requirements. Collaboration and teamwork are essential for bringing various stakeholders together, and guide implementation decisions across different disciplines.

In this role, you will

  • Own the definition of vehicle behaviors, capabilities, and contexts based on: 
    • Developing Use Case definitions
    • Developing Concept of Operations that captures sufficient detail to drive Safety Analysis, Platform Requirements, and feature/function definition.
    • Developing/Reviewing Operational Design Domain (ODD) ontology. 
    • Analysis of applicable policy/regulatory matters in collaboration with subject matter experts
  • 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
    • Apply first principles and data analysis (based on logs / available data) in order to rationalize the desired system level requirements 
    • Where appropriate, develop sub-system requirements with sufficient traceability and assist in establishing traceability workflows and tools
    • Co-develop relevant analyses (Eg. SOTIF, Hazard Analysis etc.) in order to develop and define requirements 
  • Facilitate cross-functional co-development activities and working groups across systems, safety, software and hardware including facilitation of design reviews, reconciliation of requirements and producing high quality documentation with embedded traceability
  • 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

Required Qualifications

  • Bachelor’s degree in Systems Engineering, or a related specialized area or field (Computer Science, Computer Engineering, Mechanical Engineering, Electrical Engineering) and a minimum of 8 years of relevant experience, or a Master’s degree and a minimum of 5 years of relevant experience
  • Minimum 4 years of experience with software architecture, engineering, and integration in complex systems with safety- or mission- critical elements
  • 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

Desirable Qualifications 

  • Strong knowledge of at least one of the key technologies for autonomous driving e.g. Perception, Motion Planning, Localization, SW Engineering etc.
  • Knowledge of middleware and communication frameworks like ROS, DDS, AUTOSAR
  • Proficiency in C++ and Python
  • Program management experience



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. 

About Aurora

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.