What You'll Do  

• Lead the development, governance, maintenance, and continuous improvement of a comprehensive safety cases for the Automated Driving System (ADS). 

• Define safety case strategies based on industry best practices, standards, and internal safety objectives. 

• Partner with cross-functional stakeholders to develop and refine safety case claims, sufficiency criteria, and supporting evidence across domains. 

• Author and maintain safety case materials to support product submissions, formal audits, internal reviews, and external assessments. 

• Present safety case approaches, methodologies, risks, and progress to internal and external stakeholders, including executives, partners, and regulators. 

• Work with regulatory agencies, external consultants, and internal teams to ensure safety-critical applications are appropriately supported by evidence and validation strategiesy. 

• Improve compliance and evidence-tracking processes so that safety evidence, claim status, and regulatory requirements are systematically recorded and kept current. 

• Identify high-value opportunities to improve traceability and automate portions of safety evidence collection across the engineering lifecycle. 

• Surface safety gaps, evidence weaknesses, and emerging risks, and drive timely escalation and resolution through the appropriate forums. 

• Integrate technical evidence from autonomy, AI/ML, platform, functional safety, cybersecurity, systems engineering, validation, and product safety into coherent, defensible safety arguments. 

• Perform impact analyses when system scope, ODD, platform, or release changes affect the safety case, and determine what claims, criteria, or evidence must be updated. 

• Drive alignment between safety case claims and relevant standards, guidance, and best practices, including UL 4600, ISO 26262, ISO 21448, AVSC guidance, and ISO/PAS 8800. 

• Bachelor's degree in engineering, Mathematics, Computer Science, Robotics, Safety Management, or related technical field. 

• 7+ years of relevant experience in autonomous driving, ADAS, systems engineering, safety, program leadership, or other complex software-intensive safety-critical environments. 

• Demonstrated experience developing, supporting, or assessing safety cases, assurance cases, or equivalent structured safety arguments. 

• Deep knowledge of functional safety and safety assurance concepts, including ISO 26262 (FuSa), ISO 21448 (SOTIF), ISO 8800 (AI) and UL 4600. 

• Strong ability to decompose high-level safety goals into clear, implementable requirements and evidence needs for hardware and software teams. 

• Experience leading large, cross-functional technical efforts with enterprise-level scope and multiple stakeholders. 

• Strong written and verbal communication skills, including the ability to translate complex technical concepts for non-technical audiences. 

• Ability to synthesize ambiguous or distributed technical data into clear safety arguments, decisions, and recommendations. 

• Passion for autonomous vehicle technology and advancing safe deployment of ADS capabilities. 

• Advanced degree (MS, PhD) in Engineering, Mathematics, Computer Science, Robotics, Safety Management, or a related field. 

• Prior experience in an autonomous vehicle or advanced mobility regulatory, certification, or safety assurance role. 

• Advanced understanding of AI/ML safety validation techniques, statistical or probabilistic safety arguments, and evidence sufficiency evaluation. 

• Familiarity with Goal Structuring Notation (GSN) or similar structured argumentation frameworks. 

• Experience with requirements management, traceability, and evidence management practices in safety-critical development lifecycles. 

• Experience working in fast-paced, high-growth engineering organizations with frequent software releases and evolving system scope. 

• Experience engaging with external assessors, regulators, standards bodies, or industry consortia. 

Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of the California Bay Area.

• The salary range for this role is $160,200 to $290,700. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.

• Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance

Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.

Company Vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.

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