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Sr Systems Safety Engineer






San Francisco, CA, US


At Uber, we ignite opportunity by setting the world in motion. We take on big problems to help drivers, riders, delivery partners, and eaters get moving in more than 600 cities around the world.


We welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently. If you have the curiosity, passion, and collaborative spirit, work with us, and let’s move the world forward, together.

About the Role


A successful candidate will have a strong background in system analysis, and stewardship of complex initiatives. They will have a demonstrated ability to build and refactor complicated layers of traceable technical constructs. Responsibilities will include the formulation and the implementation of effective approaches for substantiating the safety of self-driving vehicles.


About System Safety


The System Safety team within Uber ATG is charged with ensuring that, at every stage of development, our self-driving vehicles are demonstrably safe when operating on public roads. We also hold primary responsibility for establishing durable specifications that will guide the integration of self-driving technology onto the Uber network at global scale.


Our safety experts apply analytical skills and expertise throughout the product development lifecycle. We work with software engineers, hardware engineers, test teams, and external partners to efficiently deliver the appropriate level of assurance for on-road, highly automated systems.

Successful candidates will:


  • Have extensive experience leading system/design/software Fault Tree Analysis (FTA), Failure Mode and Effects Analysis (FMEA), Functional Hazard Analysis (FHA), Hazard Analysis and Risk Assessment (HARA), or other risk assessments from inception.
  • Have a successful track record of creating and improving standards for broader adoption and use.
  • Be knowledgeable about safety critical system design and validation, and ideally familiar with fail-operational system architectures in vehicles or spacecraft.
  • Understand statistical analysis methods and potential pitfalls regarding data sampling and quality.
  • Consistently demonstrate creativity, practicality, and maturity in approaching system safety
  • Be comfortable in environments with technical diversity and parallel development paths. Experience within a startup, focused research initiative, special project group, or other non-traditional engineering environment is highly desirable.
  • Have the professionalism and expertise required to blaze a trail where clear industry or regulatory guidance does not currently exist
  • Have demonstrated experience working on large software systems


Prior experience may include:


  • Building novel safety cases and concepts for sophisticated automation, robotics, vehicles, and/or other cyber-physical systems
  • Training engineering teams and building relationships in support of safety processes and culture
  • Making/defending smart judgements and policy regarding residual system risk
  • Adapting traditional safety processes to unique new technology applications, e.g.,
    • Tailoring functional safety standards such as ISO 26262 to highly automated driving
    • Applying standards/principles such as IEC 61508 (Functional Safety), DO-178 (178B or 178C - Safety Critical Software in Airborne Systems), Systems Theoretic Process Analysis (STPA), Radiation Safety “As Low As Reasonably Achievable (ALARA) etc. from another industry (e.g., aerospace, defense, medical) to a new or non-conventional domain.


About the Team


At the Advanced Technologies Group (ATG), we are building technologies that will transform the way the world moves. Our teams in Pittsburgh, San Francisco, and Toronto are dedicated to mapping, software and hardware development, vehicle safety, and operations for self-driving technology. Our teams are passionate about developing a self-driving system that will one day move people and things around more safely, efficiently, and cost effectively.


At Uber, we believe technology has the power to make transportation more efficient, accessible, and safer than ever before. Self-driving technology has the potential to make these benefits an everyday reality for our customers, but it’s not going to happen overnight.  Building best-in-class self-driving technology will take time, and safety is our priority every step of the way. Operating inclusively and transparently, while displaying responsible behavior in a structured development are critical to safety. We at ATG seek candidates who will role model these values.

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