Autonomous Vehicle Safety Case Technical Program Manager

Integrated Program Leadership 

• →Build and maintain integrated program plans covering safety case workstreams, milestones, dependencies, resource needs, risks, decisions, and deliverables. 

• →Establish operating rhythms, governance forums, status reporting, action tracking, decision logs, and escalation paths that enable effective cross-functional execution. 

• →Align safety case claims with ADS product, engineering, validation, operational, and launch milestones. 

• →Translate evolving safety strategies and program objectives into clear workstream charters, measurable outcomes, delivery plans, and ownership models. 

• →Identify schedule, scope, technical, evidence, resource, and cross-functional dependency risks; drive mitigation plans and escalate issues when needed. 

• →Create clear, concise communications for technical teams, senior leaders, and cross-functional decision forums. 

Safety Case and Assurance Execution 

• →Coordinate the development, assessment, maintenance, and continuous improvement of ADS safety cases across product-launch contexts. 

• →Drive alignment among safety claims, sufficiency criteria, evidence plans, assessment activities, and program milestones. 

• →Establish and maintain traceability between safety strategies, claims, requirements, evidence, assessments, decisions, and changes in system scope or operating conditions. 

• →Coordinate technical inputs from AI/ML, autonomy, systems engineering, functional safety, SOTIF, cybersecurity, software validation, simulation, human factors, operations, and product safety teams. 

• →Track evidence readiness, assessment status, substantiation gaps, deviations, and corrective actions; ensure gaps are closed, actively managed, or supported by documented rationale. 

• →Support impact assessments when the ADS, operational design domain, platform, release, feature behavior, or deployment plan changes. 

• →Improve the processes, tools, and information flows used to manage the safety case and safety assurance lifecycle. 

Continuous Improvement 

• →Establish scalable methods for planning, prioritization, reporting, evidence management, and change control across SAFE-ADS. 

• →Use program data and operational feedback to identify systemic issues, improve process health, and increase predictability of safety assurance delivery. 

• →Promote early and frequent collaboration between safety assurance teams and the engineering and operations organizations developing and deploying ADS capabilities. 

• →Help mature GM’s safety assurance practices as ADS technology, operating scope, evidence methods, and industry expectations evolve. 

• Bachelor’s degree in engineering, computer science, systems engineering, robotics, safety engineering, mathematics, or a related technical field. 

• 7+ years of experience leading complex technical programs in autonomous vehicles, ADAS, software-intensive systems, systems engineering, product safety, safety assurance, or another safety-critical domain. 

• Demonstrated experience leading cross-functional programs with multiple workstreams, stakeholders, dependencies, and enterprise-level visibility. 

• Strong program management capabilities, including integrated planning, milestone management, dependency tracking, risk management, governance, issue resolution, and executive communication. 

• Experience translating ambiguous technical or safety objectives into structured execution plans, measurable outcomes, and clear ownership. 

• Experience developing, supporting, assessing, or managing safety cases, assurance cases, safety arguments, or equivalent evidence-based safety programs. 

• Working knowledge of safety assurance concepts and practices, including requirements traceability, evidence management, hazard or risk management, change control, and assessment processes. 

• Ability to understand and connect technical work across software, AI/ML, systems engineering, validation, simulation, human factors, operations, and product safety. 

• Excellent written and verbal communication skills, with the ability to tailor information for technical, operational, and executive audiences. 

• Ability to influence without authority, build alignment across functions, work through ambiguity, and drive action to closure. 

• Passion for autonomous vehicle technology and safe deployment of advanced driving capabilities. 

• Advanced degree in engineering, computer science, robotics, systems engineering, safety management, mathematics, or a related field. 

• Experience with autonomous vehicle or ADAS safety assurance, safety case management, safety management systems, or product launch readiness. 

• Experience with Goal Structuring Notation (GSN) or another structured argumentation framework. 

• Familiarity with functional safety, SOTIF, AI/ML safety, operational safety, human factors, rules-of-the-road compliance, or safety performance metrics. 

• Experience working in a fast-paced engineering organization with frequent software releases, evolving system scope, and complex technical dependencies. 

• Experience working with independent assessors, standards bodies, regulators, industry consortia, or external technical partners. 

• Program or project management certification. 

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All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. 

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