Supplier Quality Engineer

Job Description

The Role:

The Supplier Quality Engineer (SQE) will be the technical liaison between GM purchasing, product engineering, manufacturing, and our supply base.  In this role, the Supplier Quality Engineer will work with suppliers to resolve supplier manufacturing and quality issues, implement, and monitor advanced quality planning systems, and provide technical support throughout the lifecycle of a commodity and/or component.

What You'll Do:

• Assuring supplier understanding and compliance with APQP processes and product PPAP submission and approval requirements.

• Reviewing and approving supplier quality plans (Control Plans, PFMEA) for new components and assemblies for vehicle launch.

• Reviewing supplier manufacturing processes and quality systems.

• Facilitating root cause analysis and corrective actions of supplier quality issues

• Performing on-site supplier visits for root cause analysis and verification of correction actions of supplier quality issues

• Implementing and monitoring supplier part qualification and certification processes (PPAP, Run at Rate).

• Improving quality performance of suppliers by conducting onsite workshops at supplier locations, providing technical assistance in developing a robust quality system, or other technical support as required.

• Providing technical assistance during supplier launch, change-over and ongoing production activities.

Your Skills & Abilities (Required Qualifications):

• Bachelor's degree is required. Degree in Engineering (Mechanical, Industrial, Electrical, Manufacturing, Welding, Plastics, Materials, Chemical preferred) or an equivalent Technical Degree such as Applied Mathematics, Chemistry, Physics is acceptable.

• Minimum 5 years’ experience in quality, engineering and/or manufacturing.

• Proficient in print reading and interpretation, part measurement, gage design and function.

• Proficient knowledge of geometric design and tolerancing (GD&T).

• Proficient knowledge of manufacturing and assembly plant processes, procedures, tooling, equipment, and facilities.

• Demonstrated knowledge of probability, statistical quality control and design of experiments.

• Proficient ability to investigate quality problems and to apply sound technical judgment to develop potential solutions.

• Proficient ability to manage multiple projects and lead diverse cross functional teams simultaneously.

• High level of interpersonal skills to work independently and effectively with others.

• Strong oral, written and presentation skills.

• Good command in English with strong verbal and written communication skills.

• Ability to travel up to 50% (domestic and international).

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

• Master’s degree in Business, Engineering, or a related field is a plus

• Technical and Quality certifications are a plus

• Three or more years of OEM or Tier 1 automotive experience in quality, manufacturing, or engineering functions, with demonstrated capability in one or more of the following areas:

  • Statistical problem solving (e.g., Red X, DFSS, DMAIC)

  • Product Engineering

  • Lean Manufacturing and/or Manufacturing Quality

  • Manufacturing, Process, and/or Tool Engineering

  • Quality Systems Planning (APQP), including PPAP

• Knowledge of new EV technologies, including battery cells, power electronics, and motors, as well as future mobility technologies such as Advanced Air Mobility (AAM), is preferred

• Experience with smart factory, virtual factory, or advanced manufacturing systems is a plus

• Knowledge of virtualization tools and technologies such as NX, Tc-Vis GoVR, VR, MR, or AR is preferred

• Experience with software development, coding, or no-code programming tools is an advantage

• Demonstrated experience in leveraging automation and digitalization to improve supplier quality performance and operational efficiency

• Proficiency in programming or scripting languages such as Python, SQL, VBA, or R to support data-driven decision-making and process optimization

• Experience with data analytics and visualization tools such as Power BI or Tableau to generate actionable insights

• Knowledge of or practical exposure to Artificial Intelligence (AI) and Machine Learning (ML) applications, including predictive quality, anomaly detection, or automated inspection

• Familiarity with Industry 4.0 technologies, including IoT, smart manufacturing systems, and digital quality platforms

• Experience working with quality data systems such as SPC, MES, QMS, or SQMS, and integrating digital solutions into supplier management processes

• Strong interest in continuous improvement through digital innovation and advanced technologies







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.

Non-Discrimination and Equal Employment Opportunities

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.

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

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