Jobs / United States / General Motors Company
Dimensional Quality Engineer
General Motors Company · 🇺🇸 Warren, Michigan, United States of America
Sponsorship verdict
Sponsorship possible
One solid signal, not two — worth applying, and worth asking about sponsorship early.
- Employer is on a government sponsor recordThe US Department of Labor certified 606 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 267 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- What General Motors Company paid sponsored hires in similar roles22 certified filings for “Senior Software Engineer” (Software Quality Assurance Analysts and Testers) in MI: $112k–$137k, median $125k. Most were filed at wage level IV (68%) — 4 lottery entries, ≈61% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
- Confirmed live todayWhen a source last listed this job as open.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.
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Sponsor Radar — General Motors Company
The US Department of Labor certified 606 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 267 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for General Motors Company →
About the role
Job Description The Role At General Motors, our Global Manufacturing Engineering team is transforming facilities and processes to help create an all-electric future. As a Dimensional Performance Engineer, you will lead dimensional quality performance across Body-in-White, Body Shop, General Assembly, and vehicle launch programs. You will use metrology data, structured problem solving, supplier collaboration, and process-control methods to identify and resolve dimensional risks affecting fit, function, appearance, manufacturability, and launch readiness. Your leadership will help reduce variation, improve process capability, and deliver stable, high-quality vehicles from launch through steady-state production. What You'll Do • Drive continuous improvement of dimensional quality for Body-in-White, Body Shop, and General Assembly parts and subassemblies throughout launch and steady-state production by reducing variation and improving process capability. • Lead body and General Assembly dimensional integration by monitoring performance, identifying risk, and proactively resolving issues that affect vehicle fit, function, appearance, manufacturability, and launch readiness. • Analyze CMM, laser-scanning, supplier, and production measurement data using Red X, statistical analysis, and structured problem-solving methods to identify root causes, implement corrective actions, and prevent recurrence. • Lead cross-functional dimensional investigations involving product requirements, manufacturing processes, tooling, supplier performance, and final vehicle quality; support vehicle launches, Issue Resolution Teams, and timely issue closure. • Partner with suppliers to resolve dimensional concerns, improve incoming component quality, and ensure compliance with product and process requirements. • Develop, implement, and monitor dimensional Process Control and Measurement Plans; conduct matching, repeatability, capability, and measurement-system studies to validate performance and identify optimization opportunities. • Provide technical support for tooling and manufacturing processes, including tooling adjustments, fixture validation, nominal verification, measurement strategy development, laser scanning, digital measurement, and additional measurement points that improve data accuracy and build quality. Your Skills & Abilities (Required Qualifications) • Experience improving dimensional quality for Body Shop, Body-in-White, and General Assembly systems. • Strong understanding of Body Shop, General Assembly, Body, Trim, and Final Assembly operations and manufacturing processes. • Proficiency collecting, analyzing, and interpreting CMM, laser-scan, supplier, and production measurement data, including dimensional studies and measurement-system validation. • Expertise in Red X, statistical analysis, structured problem solving, Geometric Dimensioning & Tolerancing (GD&T), vehicle integration, and root-cause analysis. • Experience developing and implementing dimensional control plans, measurement plans, process monitoring systems, tooling studies, repeatability assessments, and process or tooling improvements. • Working proficiency with Control Room, GDIS, Siemens NX (UG), Vis Mockup, Microsoft Office, and relevant manufacturing software applications. • Automotive launch and production support experience, with the ability to lead cross-functional teams, facilitate collaboration among Product Engineering, Manufacturing, suppliers, and plant operations, and communicate effectively with stakeholders. • Ability to solve complex technical and manufacturing challenges through data-driven decision-making, reduce variation, improve process capability, and support launches across North American assembly facilities. • An engineering degree is