System Safety Engineer - Onboard

Waymo is an autonomous driving technology company focused on building the world's most trusted driver. The System Safety Engineer will lead cross-functional efforts to perform safety analyses, assess safety risks, and define safety requirements to ensure the safety of Waymo's autonomous driving technology.

Responsibilities:

• Lead cross-functional efforts to perform safety analyses and identify potential hazard and their causes, assess safety risks (qualitatively and quantitatively), support the definition of safety requirements, inform design decisions, propose mitigations, and support verification strategies
• Participate in software, and product 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 and its partners comply with relevant safety regulations
• Evaluates the continued effectiveness of implemented risk control strategies; supports the identification of new hazards
• 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

Requirements:

• Bachelor of Science in Computer Engineering, Computer Science, or related technical fields
• Strong technical project management skills with the ability to manage multiple parallel projects
• 7+ years of relevant safety engineering work experience that includes minimum 5 years of System Safety engineering
• Proficient in selecting and performing appropriate inductive/deductive safety analyses in order to efficiently identify hazards and their level of risk
• Proficient in applying Systems Engineering principles including defining SMART safety mitigations/requirements and collaborating on effective verification and validation methods
• Extensive background in risk management and aligning risk based decisions with stakeholders
• Experience in writing code and performing unit tests as well as analyzing algorithmic structures in C, C++, and Python
• A Master's degree or PhD in Electrical/Mechatronics/Aerospace Engineering, Computer Engineering, Computer Science, or related technical fields
• Experience in conducting safety analysis and risk assessments on SAE L3+ Perception and Behavior/Planner software