Dimensional Quality Engineer — Launch-Ready Metrology Lead

General Motors (GM); Warren (MI); On-site; USD 90,000 - 130,000; Full time

Job summary

General Motors (GM) is seeking a Dimensional Performance Engineer to lead dimensional quality across Body-in-White, Body Shop, and General Assembly during launch and steady-state production. You will analyze CMM and laser data, drive root-cause investigations, and partner with suppliers to resolve dimensional concerns.

The role requires strong GD&T knowledge, experience with CMM systems, and a track record of reducing variation and improving process capability in automotive programs.

Qualifications

• Proven experience improving dimensional quality for complex assemblies.
• Strong GD&T and statistical methods to analyze measurement data.
• Experience with CMM, laser scanning, and data-driven root-cause analysis.
• Ability to develop and implement dimensional control and measurement plans.

Responsibilities

• Lead dimensional quality across Body-in-White, Body Shop, and General Assembly during launch and production.
• Analyze measurement data to identify root causes and implement corrective actions.
• Collaborate with suppliers and cross-functional teams to ensure fit and function.
• Develop monitoring and control plans for dimensional processes and tooling.

Skills

Dimensional quality

CMM data analysis

GD&T

Cross-functional leadership

Statistical analysis

Problem solving

Launch support

Data-driven decisions

Education

Bachelor's in Mechanical Engineering

Tools

Siemens NX

GDIS

Vis Mockup

Microsoft Office

Job description

General Motors (GM) is seeking a Dimensional Performance Engineer to lead dimensional quality across Body-in-White, Body Shop, and General Assembly during launch and steady-state production. You will analyze CMM and laser data, drive root-cause investigations, and partner with suppliers to resolve dimensional concerns.

The role requires strong GD&T knowledge, experience with CMM systems, and a track record of reducing variation and improving process capability in automotive programs.