Jobs / United States / General Motors Company

General Motors Company

Virtual Analysis Engineer

Warren, Michigan, United States of America Posted today

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Skills this job asks for

ComplianceC++Python

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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.
  • 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.
  • What General Motors Company paid sponsored hires in similar roles171 certified filings for “Senior Software Engineer” (Software Developers) in MI: $140k–$163k, median $150k.
  • Confirmed live todayWhen a source last listed this job as open.
Details and sources
Employer is on a government sponsor record
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. Source: LCA disclosure data (US Department of Labor (OFLC)).
No salary bar for this route
H-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 roles
171 certified filings for “Senior Software Engineer” (Software Developers) in MI: $140k–$163k, median $150k. Most were filed at wage level IV (74%) — 4 lottery entries, ≈61% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).

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.

About the role

Job Description As a Virtual Analysis Engineer in GM’s Body Manufacturing Product Interface organization, you will help ensure vehicle designs are manufacturable, robust, and aligned with Body Manufacturing Requirements (MRs). Using advanced math-based tools, simulation software, and digital verification methods, you will evaluate weldability, accessibility, sealing, part handling, and overall body-in-white (BIW) manufacturability throughout the vehicle development process. You will serve as a technical bridge between Product Engineering, Stamping, Body Manufacturing Engineering, and Manufacturing Integration. Your analysis will provide early, actionable feedback that reduces design changes, prevents downstream manufacturing issues, and enables high-quality, high-volume production. This role is ideal for an engineer who enjoys digital validation, complex problem-solving, and influencing product design through data-driven manufacturing insight. What You’ll Do • Use Siemens Teamcenter, TcVIS, NX, and Tecnomatix Process Simulate/Designer to evaluate compliance with Body Manufacturing Requirements. • Assess weldability, sealing, weld-gun access, part handling, and overall BIW manufacturability. • Perform manual virtual analyses when automated tools are unavailable. • Identify requirement gaps, feasibility concerns, and manufacturing risks. • Create and publish manufacturability issue reports for Product Interface, Stamping, Body Manufacturing Engineering, and Product Engineering teams. • Develop KPI charts at defined math synchronization points to track requirement compliance, design maturity, and open actions. • Clearly communicate findings, risks, and recommended actions to cross-functional stakeholders. • Support virtual manufacturing studies evaluating product placement and compatibility within manufacturing facilities. • Analyze robot reach, station constraints, sequencing, access, and other manufacturing considerations. • Validate interbuildability and cross-program compatibility at math-based checkpoints. • Review design updates and coordinate feedback between Product Engineering and Manufacturing Engineering. • Recommend process-friendly design improvements and manufacturing-driven engineering changes. • Manage virtual analysis activities to meet program milestones and vehicle development timing. Required Qualifications • Bachelor’s degree in engineering or a related technical field. • Experience with Siemens Teamcenter, TcVIS, NX, and/or Tecnomatix Process Simulate/Designer. • Strong analytical and problem-solving skills, including experience evaluating manufacturability in digital environments. • Ability to learn and apply new math-based and virtual analysis tools quickly. • Ability to manage competing priorities and deliver accurate analysis aligned with program timing. • Strong communication and cross-functional collaboration skills. Preferred Qualifications • Body shop launch experience or exposure to BIW manufacturing processes. • Experience with BIW tooling design, joining processes, or manufacturing requirement development. • Experience with math-based processes and virtual simulation workflows. • Robot simulation experience using Process Simulate or an equivalent tool. • Familiarity with GMNA Manufacturing Standards, Body Manufacturing Requirements, and GVDP deliverables. • Coding or scripting experience in C++, Visual Basic, Python, or similar languages to automate math checks or customize analysis tools. • Experience applying artificial intelligence to improve engineering or manufacturing processes. GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sp

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