Staff Applied AI Quality Specialist

Posted 2 Days Ago
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Warren, MI, USA
Hybrid
Senior level
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
We make amazing products people love, for every journey.
The Role
Develop and deploy AI and data analytics solutions for vehicle software and electronics quality. Lead data-driven investigations using warranty, diagnostic, service, manufacturing, telematics, and customer data; oversee issue prioritization, root-cause analysis, containment, corrective actions, quality forecasting, dashboards, and executive reporting. Coordinate engineering, manufacturing, service, supplier, and program teams, drive systemic improvements, manage escalations, and mentor talent in AI-enabled quality practices.
Summary Generated by Built In
Description
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.

#LI-SW1
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.
About GM
Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.
Why Join Us
We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.
Total Rewards | Benefits Overview
From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.
Non-Discrimination and Equal Employment Opportunities (U.S.)
General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.
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.
We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.
Accommodations
General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us [email protected] or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Skills Required

  • Bachelor’s degree in Engineering, Data Science, Physics, Computer Science, Mathematics, or a similar field
  • At least 5 years of engineering experience
  • At least 2 years of experience developing and deploying AI/ML solutions in production environments
  • Experience analyzing warranty, diagnostic trouble code, field performance, service, manufacturing, or customer data
  • Proficiency in Python programming for production code
  • Program management experience and ability to manage multiple priorities
  • Technical problem-solving skills and successful issue-resolution experience
  • Integrity, initiative, self-direction, and ability to work with ambiguity
  • Demonstrated customer-centric innovation
  • Interpersonal skills and cross-functional collaboration experience
  • Strong oral and written communication skills
  • DFSS Black Belt
  • Experience in Quality, Reliability and Durability, warranty, or field quality roles
  • Experience supporting CPIT, Focus CPIT, SMT Core PDT, and escalation forums
  • Experience using QRD tools including SI, TrackerGart, QDAP, DAS, GWM, or MERS
  • Knowledge of hardware versus software issue partitioning and corrective action processes
  • Experience working with global teams and suppliers
  • Experience providing technical direction to others
  • Experience interacting with senior leaders
  • Master’s degree in Engineering, Data Science, Physics, Mathematics, Computer Science, or a similar field

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The Company
HQ: Detroit, MI
165,000 Employees
Year Founded: 1908

What We Do

At General Motors, our vision is to create a world with Zero Crashes, Zero Emissions, and Zero Congestion. We wholeheartedly embrace the responsibility to lead the change that will make our world better, safer, and more equitable for all. Our industry and company are undergoing a once-in-a-lifetime technological transformation, which is reshaping our approach to technology and innovation. We are expanding our horizons through new technology platforms and driving innovations that deliver exceptional value to our customers.

Why Work With Us

At General Motors, our purpose is to pioneer the innovations that move and connect people to what matters. We’re driving the world forward, together. We’re building vehicle software alongside its hardware, hands-free driving that will lead to autonomy, and EVs that charge your home for an all-electric future.

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Employees engage in a combination of remote and on-site work.

Roles that are categorized as Hybrid mean that the successful candidate is expected to report onsite to the designated facility at least three times per week or other frequency as dictated by the business.

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