Quality Engineer

GM•Pontiac, MI

1d•Onsite

About The Position

The Lab Quality Engineer is a recognized technical contributor and resource in Engine Dyno Testing, responsible for addressing broad and complex problems. The role provides technical guidance on instrumentation, equipment, software, processes, and procedures needed for compliant laboratory testing. It also supports quality improvement, data analysis, quality systems, and laboratory operations. The position is categorized as onsite, and the selected candidate is expected to report to a specific location on a full-time basis. GM does not provide immigration-related sponsorship for this role, and it is not eligible for relocation benefits; relocation costs are the candidate’s responsibility.

Requirements

Bachelor’s degree; an engineering degree is preferred, though other fields of study combined with appropriate experience may be considered.
Red X, OPEX, and DFSS certifications.
Working knowledge of automotive vehicle systems.
Knowledge and application of statistical methods when applying data analysis.
Working knowledge of lean engineering and quality systems, with strong critical-thinking skills.
Interpersonal skills to work effectively with others, including global teams.
Strong oral and written communication skills to interface effectively with GPG leadership.
Must not require GM immigration sponsorship now or in the future.

Nice To Haves

Three or more years of experience in data analytics, data engineering, database development, predictive modeling, or a related field; a bachelor’s degree or equivalent practical experience.
Advanced hands-on Databricks and Power BI experience, including production workloads, large datasets, data warehousing, troubleshooting, and performance optimization.
Familiarity with Jira Cloud, Immuta, or Atlan.
Strong SQL and Python skills.
Experience with data transformation, reconciliation, predictive modeling, forecasting, regression analysis, machine learning, and developing or deploying AI/ML models and agents.
Practical experience with data quality, metadata, lineage, stewardship, controlled access, system dependencies, testing, version control, and translating business needs into reliable data solutions.
Experience designing data products, lakehouses or warehouses, APIs, workflows, or integrations.
Automotive, engineering, laboratory, manufacturing, DFSS, or related operational experience.
Relevant Databricks, Power BI, cloud, data engineering, or AI/ML certifications.

Responsibilities

Guide engineering teams on instrumentation, equipment, and software required for compliant testing.
Support laboratory operations and quality teams on processes and procedures for compliant testing.
Validate compliance of measurement instrumentation, diagnostics, and calibrations.
Validate compliance of test procedures and data collected for each required test or test sequence.
Collaborate with teams to solve problems and improve FTQ.
Collaborate with teams to develop tools and processes that improve efficiency.
Lead innovation activities in the Quality Department.
Complete quality systems-related activities.
Train team members on tools and processes.
Maintain project Standard Work documents.
Review data and perform statistical analysis.
Maintain status of department, projects, and Business Plan Deployment-related tasks.
Maintain laboratory and operations quality reports and issue monthly status reports.
Perform data acquisition and database management using various PC software packages, and maintain records of status and changes.
Refer to employee training documents maintained by the supervisor for specifics about required job training.