Descripción

Our Mission:

At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We’re turning today’s impossible into tomorrow’s standard —from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features.

Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale

Work Arrangement:

Hybrid: This full-time position does not require an employee to be on-site full-time to perform most effectively. However, this position requires an employee to be onsite at least three times per week (Tues., Wed., Thurs.) .

The Role :

As a Staff Applied AI Quality Specialist at GM, you will play a critical role in ensuring the highest levels of product quality, reliability, and durability for our vehicles.

This role connects customer experience, data analytics, AI and product engineering within Vehicle Software and Electronics Engineering Quality (VSEE Quality) to drive both short‑term containment and long‑term quality improvements across global vehicle programs.

You will be instrumental in preventing issues, identifying and resolving problems and continuously improving our quality to deliver exceptional products to our customers.

Key Responsibilities:

Drive technical excellence in VSEE Quality through data analytics, AI solutions, and holistic quality adoption across the organization.
Develop AI and data analytics solutions to advance VSEE quality.
Champion continuous learning, mentoring, and standardized data analytics and AI practices within Engineering Standard Work.
Lead data-driven quality investigations using DTCs, robustness analysis, warranty, service, manufacturing, telematics, and customer feedback data.
Oversee issue identification, hardware/software categorization, prioritization, and tracking through GM quality systems and dashboards.
Represent the organization in quality governance, escalation, and executive review forums.
Drive containment actions, root cause investigations, and permanent corrective actions to timely closure.
Lead service, plant, and OTA breakpoint management to enable effective quality improvements.
Forecast quality and warranty performance, monitor targets, and implement recovery plans as needed.
Track quality trends, Pareto drivers, and emerging risks to proactively prevent customer-impacting issues.
Lead rapid response activities for field escalations, launch issues, and critical customer concerns.
Drive read-across and systemic improvements across vehicle programs and architectures.
Align engineering, manufacturing, service, supplier, and program teams to accelerate issue resolution and quality outcomes.
Influence stakeholders to balance customer satisfaction, quality, warranty, cost, timing, and business objectives.
Develop executive-level quality metrics, dashboards, and communications to support decision-making.
Build a culture of accountability, technical excellence, innovation, and continuous improvement.
Coach and develop talent while advancing organizational capabilities in quality analytics, problem solving, and AI-driven productivity.

Minimum Skillset Required :

BS in Engineering, Data Science, Physics, Computer Science, Mathematics or similar.
Minimum 5 years of experience in engineering.
Minimum 2 years of experience developing and deploying in A I /ML solutions in production environment.
Experience analyzing warranty, DTC, field performance, service, manufacturing, or customer data.
Proficient in Python programming for production code.
Program management experience, ability to manage multiple priorities in a fast-paced environment.
Excellent technical problem-solving skills, with a track record of successful issue resolution.
High level of integrity, ability to deal with ambiguity, take initiative/self-directed.
Consistent demonstration of customer-centric innovation.
Good interpersonal skills and experience collaborating with cross-functional teams
High level of oral and written communication skills
DFSS Black Belt

Preferred Skills Required :

5+ years of experience in engineering.
2+ years of experience developing and deploying in A I /ML solutions in production environment.
Experience in Quality, Reliability & Durability (QRD), warranty, or field quality roles.
Experience supporting CPIT, Focus CPIT, SMT Core PDT, and escalation forums.
Use of QRD tools such as: SI, TrackerGart, QDAP, DAS, GWM, MERS
Knowledge of hardware vs. software issue partitioning and corrective action processes.
Experience working with global teams and suppliers.
Passion for leveraging AI & data analytics to standardize QRD work.
Current or previous role in providing technical direction to others
Experience with interacting with senior leaders
MS in Engineering, Data Science, Physics, Mathematics, Computer Science, or similar.

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Why Join Us

At GM, you’ll be at the forefront of shaping the future of connected, electric, and autonomous vehicles . You’ll work on cutting-edge antenna systems alongside some of the brightest minds in automotive and RF technology — with the resources to make an impact at scale. We offer competitive compensation, growth opportunities, and a culture that values innovation, inclusion, and forward thinking . This is a unique opportunity to lead, innovate, and help millions of customers around the world stay connected on the move .

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.

Diversity Information

General Motors is committed to being a workplace that is not only free of discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that workforce diversity creates an environment in which our employees can thrive and develop better products for our customers. We understand and embrace the variety through which people gain experiences whether through professional, personal, educational, or volunteer opportunities.

We encourage interested candidates to review the key responsibilities and qualifications and apply for any positions that match your skills and capabilities.

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.