Jobs / United States / General Motors Company

Propulsion Researcher

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 roles3 certified filings for “Researcher” (Materials Engineers) in MI: $114k–$144k, median $135k. Most were filed at wage level IV (67%) — 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

606 H-1B filings certified since Oct 2025

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 Advanced (PhD) degree in science/engineering disciplines. New PhD grad up to 1-3 years work experience. Individual Contributor. Generate innovative ideas, suggest new project areas, and establish technical plans. Conduct research and/or experiments to collect required data and validate research ideas in developing. Write timely and high-quality research reports, external publications, and records of invention to document new ideas and research results in your area of research. Maintain up-to-date knowledge of industry and technical developments to grow core technical skills and competencies. Establish relationships and develop partners with divisional staffs to meet project objectives Observe and ensure support personnel proper safety practices and ensure personal protective equipment is in working order. Communicate laboratory hazards appropriately. Execute technical and special assignments. Assist lab management in identifying mega-trends in technology and business strategies in the automotive sector. Contribute responses to threats and opportunities. Represent GM effectively to the external technical and business communities. Participate in technical discussions and reviews as an expert in your field. Grow and diversify personal skills and competency base. In-depth knowledge of the state-of-the-art research in specialized areas. Consistently demonstrate innovative thinking and strong partnership. Strong verbal and written communication skills New Phd Graduate, 1-3 years experience, individual contributor · U.S. Person Status: This position is subject to export control regulations and requires the candidate to be a U.S. Person (U.S. citizen, U.S. permanent resident, asylee, or refugee). · Education: • Ph.D. in Mechanical Engineering, Electrical or Controls Engineering, or a related discipline with demonstrated research experience, or • Master’s degree in a relevant field with ongoing Ph.D. studies. · Experience: 0–3 years of relevant industry or research experience. · Technical Expertise: • Strong foundation in vehicle propulsion systems, including propulsion architectures for hybrid, plug-in hybrid, electric and conventional vehicle powertrains. • Strong background in physics‑based modeling of continuous and discrete systems using first‑principles approaches. • Proficiency in vehicle energy analysis, including assessment of sub-component or sub-system impact on vehicle efficiency, losses and vehicle fuel economy and range. • Familiarity with vehicle test procedures and standard drive cycles used for vehicle fuel economy/ range and performance assessment. • Knowledge of power transfer mechanisms commonly used in propulsion systems, including electrically variable transmissions, step gear and automatic transmissions, final drives etc. • Knowledge of propulsion components, including engines, electric motors and batteries and their impact on the propulsion system. • Familiarity with the use of any 1D modeling tool for vehicle energy assessment. • Hands on experience with common prototyping software (e.g. dSPACE) and lab/ dyno experience related to propulsion components or vehicle testing. • Experience with design optimization workflows using CFD and CAE methods. • Working knowledge of AI/ML frameworks and methods, including regression, classification, deep learning, use of digital twins, reinforcement learning. • Strong background in physics‑based modeling of continuous and discrete systems using first‑principles approaches. • Experience with multi‑disciplinary optimization (model‑based and data‑driven). · Professional Skills: • Strong interpersonal skills with the ability to collaborate effectively across diverse teams. • Demonstrated ability to innovate and operate effectively in environments

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Source: Employer career site (Workday) First seen: 2026-10-05 Last confirmed: 2026-10-05 How our data works → Report this job

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