The Waymo Safety team works to promote and help to continuously improve the safety of Waymo’s fully autonomous driving technology. Our experts develop safety goals and strategies, and conduct safety engineering analyses to ensure safety is being considered throughout the design and development of our vehicles. The team develops and promotes safety strategies and policies for autonomous vehicles for its work with regulatory authorities, lawmakers, law enforcement and public and non-profit organizations. Our Safety Team also helps advise on compliance with applicable environmental, health, and safety regulations.

In this remote role, you will report to the Head of System Safety

You will:

• Lead cross-functional efforts to perform safety analyses and identify potential hazard causes, assess safety risks (qualitatively and quantitatively), support the definition of safety requirements, inform design and operations decisions, and develop mitigations and support verification strategies
• Participate in hardware, software, and operations design and readiness reviews and discussions to help ensure that safety mitigations and requirements are addressed and ensure the safety mitigations are working effectively in the field
• Provide guidance on the adoption and adaptation of relevant safety standards, and industry best practices, and help ensure Waymo is complying with relevant safety regulations
• Provide leadership in defining, implementing, and improving relevant System Safety processes while promoting our safety culture inside Waymo
• Provide leadership in integrating the System Safety Methodology with other methodologies of the Waymo safety framework

You have:

• Bachelor of Science in Electrical/Mechatronics/Aerospace Engineering, Computer Engineering, Computer Science, or related technical fields
• 10+ years of relevant engineering work experience that includes minimum 5 years of System Safety engineering
• Hands-on experience working on an engineering program that delivered a product to market
• Experience performing safety analyses (e.g., Hazard and Risk Assessment, Failure Modes and Effects Analysis, Fault Tree Analysis, Failure Modes, Effects, and Diagnostic Analysis, System-theoretic Process Analysis (STPA), Safety of the Intended Function (SOTIF), etc.)
• Experience in defining SMART safety mitigations/requirements and designing effective verification and validation methods for autonomous driving technologies and operations

We prefer:

• A Master’s degree or PhD in Engineering, Computer Science, or a related technical degree
• Experience performing safety analyses for complex robotics or autonomous systems
• Experience in automotive development of hardware, software, and systems
• Experience in safety critical aspects of the operation of fleets
• Strong technical project management skills with the ability to manage multiple parallel projects
• Strong background in risk management and driving risk based decision making
• Experience in leading and managing an engineering team