Descripción

Work Arrangement:

Hybrid:

This role is categorized as hybrid. This means the successful candidate is expected to report to Milford, MI three days (Tues., Wed., Thurs.) a week, at minimum.

Our Mission:

There’s never been a more exciting time to work at General Motors! We are passionate about our bold vision of a world with Zero Crashes, Zero Emissions, and Zero Congestion . Our culture is built on inclusivity, where diverse perspectives are embraced, and every employee can contribute to their fullest potential. We offer flexible and tech-savvy work environments, foster innovation through collaboration, and encourage community engagement through volunteerism.

The Role:

The AI Governance Specialist is responsible for establishing, executing, and continuously improving the AI governance framework for vehicle motion software product portfolio. This role provides technical leadership to ensure that all AI elements — whether embedded in vehicle products (e.g., vehicle motion control) or used in the software development process (e.g., AI-assisted requirement generation, test case generation, code tools) comply with applicable automotive safety standards and GM AI policies. The engineer serves as VMEC's primary lead on AI governance methodology and acts as the bridge between software engineering, system safety, and enterprise AI governance bodies.

What You'll Do:

Derive and maintain VMEC's AI governance framework from applicable standards including ISO 26262, ISO/PAS 8800, ISO/IEC TR 5469, ISO 21448 (SOTIF), and GM's AI Policy.
Establish methodology to classify all AI elements and AI-powered tools within VMEC's scope using ISO 8800 usage levels, distinguishing in-product AI from off-line development AI.
Develop and own the VMEC AI Governance Process and documentation aligned with ISO 26262 and ISO 8800 requirements. Pilot and scale up the process.
Integrate AI governance requirements into existing VMEC software development processes and product lifecycle stages.

Interpret and translate ISO 26262, ISO/PAS 8800, ISO 21448 and ISO/IEC 5469 requirements into actionable VMEC engineering guidance.
Conduct gap analyses between current VMEC software processes, GM safety requirements, and applicable AI governance standards; prioritize and drive closure plans.
Monitor the evolving AI standards landscape and proactively assess impact on VMEC processes.

Maintain a comprehensive inventory of AI elements and AI-powered tools used within VMEC's product and process scope.
Lead tool confidence level (TCL) determination per ISO 26262 and ISO 8800, assessing Tool Impact (TI) and Tool Error Detection (TD) for each AI tool in safety-critical workflows.
Define and execute tool qualification plans for AI tools requiring qualification (e.g., AI-assisted test case generators, ML model trainers, code generation tools used in ASIL-rated software).
Establish criteria and checklists for onboarding new AI tools into VMEC's governed ecosystem.

Define and implement AI lifecycle controls encompassing data governance, model development oversight, verification and validation requirements, performance bounds, and operational guardrails.

Develop and maintain processes for generating audit-ready AI governance artifacts (AI safety case evidence, tool qualification reports, data governance documentation).
Support VMEC's participation in AI tool inventory reviews and compliance assessments.
Align with GM's enterprise AI Governance Council, Enterprise Data Governance Office (EDGO), and GM AI Policy compliance requirements including data privacy, security, and export control considerations.

Serve as the VMEC subject matter expert for AI safety standards; provide training and guidance to software engineers, system engineers, and leadership on AI governance obligations.
Lead and support the VMEC AI Community of Practice (AI CoP) on governance topics; develop and maintain reference materials on ISO 26262 and ISO 8800 applicability guidance.
Partner with leadership to operationalize governance as an enabler of safe, scalable AI adoption across VMEC.

Harmonize VMEC AI governance practices with broader GM standards.
Represent VMEC in internal and external AI standards forums as needed.

Your Skills & Abilities (Required Qualifications):

Bachelor's degree in Electrical Engineering, Computer Engineering, Systems Engineering, Mechanical Engineering, or a related field.
5+ years of experience embedded controls, software safety, or systems engineering for safety critical systems such as automotive or aerospace.
Knowledge of ISO 26262 and ISO/PAS 8800, including their interaction and tailoring for AI/ML components.
Understanding of ISO 21448 (SOTIF) principles — functional insufficiencies, triggering conditions, and their relevance to AI system performance.
Knowledge of GM vehicle safety requirements, ASIL (A–D) determination, and functional safety documentation requirements
Understanding of vehicle motion software development processes and toolchains

Experience with AI/ML concepts: supervised learning, model training and validation, data quality assessment, uncertainty quantification, bias, and robustness evaluation.
Familiarity with tool confidence level (TCL) determination and software tool qualification processes per ISO 26262.
Systems thinking — ability to reason across the full vehicle software lifecycle from hazard to control to evidence.
Learning agility — keeps pace with rapidly evolving AI standards and technology landscape.
Collaboration — effectively partners with safety, software, and program teams; builds trust with technical peers.
Communication — translates regulatory complexity into clear, practical guidance for engineering teams.

What Will Give You A Competitive Edge (Preferred Qualifications):

Master's degree in Electrical Engineering, Computer Engineering, Systems Engineering, Mechanical Engineering, or a related field.
8+ years of experience embedded controls, software safety, or systems engineering for safety critical systems such as automotive or aerospace.Formal training or certification in ISO 26262 and ISO 8800
Working knowledge of ISO 26262 and ISO/PAS 8800, including their interaction and tailoring for AI/ML components.
Solid understanding of ISO 21448 (SOTIF) principles — functional insufficiencies, triggering conditions, and their relevance to AI system performance.
Familiarity with ISO/IEC 42001 (AI Management System), ISO/IEC TR 5469 (Functional Safety and AI Systems)
Background in vehicle motion or equivalent embedded controls software development for vehicle motion control (e.g., brake controls, propulsion, chassis, AWD, or equivalent automotive domain).
Experience with AI-assisted development toolchains in automotive contexts
Hands-on experience with ML model development and deployment tools
Knowledge of enterprise-wide AI Policy and AI impact assessment processes

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.

Relocation:

This job may be eligible for relocation benefits.
The selected candidate will be required to travel <25% for this role.

Este puesto se clasifica como híbrido. Esto significa que se espera que el candidato seleccionado se presente en una ubicación específica al menos 3 veces por semana {o con otra frecuencia indicada por su líder}.

El candidato seleccionado deberá viajar menos del 25 % del tiempo para este puesto.

Información sobre diversidad

General Motors se compromete a ser un lugar de trabajo en el cual no solo no haya discriminación indebida, sino que fomente con sinceridad la inclusión y el sentido de pertenencia. Creemos firmemente que la diversidad del personal crea un entorno en el cual nuestros empleados pueden prosperar y desarrollar mejores productos para nuestros clientes. Instamos a los candidatos interesados a que revisen las responsabilidades y aptitudes clave para cada puesto y se postulen para los puestos que coincidan con sus habilidades y capacidades. Es posible que, cuando corresponda, se les pida a los solicitantes que están en el proceso de contratación que completen satisfactoriamente una o más evaluaciones relacionadas con su función y/o una evaluación previa al empleo antes de comenzar a trabajar. Para obtener más información, visite Cómo contratamos.

Declaración de igualdad de oportunidades en el empleo (EE.UU.)

General Motors se enorgullece de ser un empleador que ofrece igualdad de oportunidades. Todos los solicitantes calificados serán tenidos en cuenta para el empleo sin distinción de raza, color, religión, sexo, orientación sexual, identidad de género, nacionalidad, discapacidad o condición de veterano protegido.

Adecuaciones (EE.UU. y Canadá)

General Motors ofrece oportunidades a todos los solicitantes de empleo, incluyendo las personas con discapacidades. Si necesita una adecuación razonable para ayudarle con su búsqueda o solicitud de empleo, envíenos un correo electrónico a [email protected] o llámenos al 800-865-7580. En su correo electrónico, incluya una descripción del puesto específico que está solicitando, así como el título del empleo y el número de solicitud del puesto que está solicitando.