Jobs / United States / General Motors Company
Engineering Group - Program Execution
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 roles1 certified filing for “Program Execution” (General and Operations Managers) in OH: $164k–$164k, median $164k. Most were filed at wage level IV (100%) — 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 At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We’re turning today’s impossible into tomorrow’s standard —from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features. Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale. The Role Support General Assembly vehicle programs through virtual engineering, dynamic simulation, virtual builds, and manufacturing-readiness assessments. This individual-contributor role owns assigned technical work, delivers accurate simulation results, and collaborates with manufacturing, product, architecture, and virtual engineering partners across multiple vehicle programs. The successful candidate will balance competing priorities, communicate risks early, maintain consistent quality, and meet program milestones while applying simulation, automation, data, and artificial intelligence to improve engineering work. What You'll Do • Perform dynamic simulations for robotic and manual General Assembly operations using Siemens Process Simulate and Tecnomatix in eMServer and Teamcenter environments. • Assess product designs, process concepts, tooling, equipment, and product interfaces for manufacturing readiness, identifying ergonomic, clearance, interference, access, sequence, and process risks early in product development. • Lead or support virtual builds across the product lifecycle, including creating and managing manufacturing build sequences using Manufacturing Process Planner. • Partner with manufacturing engineers, architecture leads, product teams, and other stakeholders to clarify study objectives, review engineering inputs, develop work-order instructions, and communicate results. • Review and compare engineering math data and product information in Teamcenter and visualization tools to identify missing, duplicate, or unnecessary study requests across related vehicle configurations. • Configure simulation workcells, execute milestone-driven and non-milestone studies, document issues, prepare clear reports, and recommend improvements to product, process, tooling, and equipment designs. • Prioritize work across multiple programs based on timing, workload, study complexity, and business needs while communicating risks and changing priorities early. • Perform quality reviews of simulation studies, provide constructive technical feedback, and support knowledge sharing and mentoring for newer team members. • Maintain program tracking records and program-specific simulation tool libraries used for dynamic studies. • Help validate software releases, revisions, and digital tools used in virtual engineering, and troubleshoot issues involving Teamcenter, Process Simulate, eMServer, engineering data, work orders, or related systems. • Use coding, scripting, data, automation, and artificial-intelligence-enabled workflows to reduce repetitive work and improve engineering processes. • Identify and implement practical improvements to simulation methods, reports, digital tools, and team processes. • Support General Motors vehicle programs by helping identify manufacturing risks earlier, improve product and process decisions, and contribute to successful vehicle launches. Your Skills & Abilities (Required Qualifications) • Bachelor’s degree in engineering, manufacturing engineering, industrial engineering, computer science, or a related technical field; equivalent practical experience may be considered. • Experience with dynamic simulation, manufac