Quality Engineer

General Motors•Pontiac, MI

4d•Onsite

About The Position

The Lab Quality Engineer is a recognized technical contributor and resource in Engine Dyno Testing, addressing broad and complex problems. The role provides technical guidance and support for compliant testing, validates instrumentation, diagnostics, calibrations, test procedures, and collected data, and works with teams to solve problems and improve first-time quality (FTQ), processes, and efficiency. The engineer leads quality innovation, completes quality-system activities, trains team members, maintains project Standard Work documents, reviews data and performs statistical analysis, and tracks department, project, and Business Plan Deployment tasks. The role also maintains laboratory and operations quality reports, issues monthly status reports, and performs data acquisition and database management using PC software while keeping status and change records. Required job training specifics are maintained in employee training documents held by the supervisor. This 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 the position 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 of and ability to apply statistical methods when performing data analysis.
Working knowledge of lean engineering and quality systems.
Strong critical-thinking skills.
People skills to work effectively with others, including global teams.
Strong oral and written communication skills to interface effectively with GPG leadership.

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 expertise, including production workloads, large datasets, data warehousing, troubleshooting, and performance optimization.
Familiarity with Jira Cloud, Immuta, or Atlan.
Strong SQL and Python skills, with experience in 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

Provide engineering guidance on instrumentation, equipment, and software needed for compliant testing.
Support laboratory operations and quality teams regarding 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-system-related activities.
Train team members on tools and processes.
Maintain project documents related to Standard Work.
Review data and perform statistical analysis.
Maintain status of department, project, and Business Plan Deployment-related tasks.
Maintain laboratory and operations quality reports and issue monthly status reports.
Perform data acquisition and database management using PC software packages, and keep records of status and changes.
Refer to training documents maintained by the supervisor for specifics about required job training.