Criterion Collection Jobs in Michigan (NOW HIRING)

What You'll Do

• Lead the development, governance, maintenance, and continuous improvement ofacomprehensive safety casesforthe Automated Driving System (ADS).

• Define safety case strategiesbased on industry best practices, standards, and internal safetyobjectives.

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

• Author andmaintainsafety 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.

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

• Surface safety gaps,evidenceweaknesses, and emerging risks, and drivetimelyescalation and resolution through theappropriate 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, anddeterminewhat 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, orrelatedtechnical 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 andevidenceneeds 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, ora relatedfield.

• 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, andevidencesufficiency evaluation.

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

• Experience withrequirementsmanagement, 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,standardsbodies, 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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