Jobs / United States / General Motors Company
Senior Battery Cell Electrochemistry and Molecular Dynamics Analysis 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 roles171 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).
- 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 Global Virtual Engineering (GVE) at General Motors is looking for a driven individuals to become Battery Cell Electrochemistry Analysis Engineer. This position is a highly technical, interdisciplinary role focused on advancing the future of battery cell design. The role combines electrochemical modeling, data science, battery design optimization, and cross-functional technical leadership to deliver models and tools that guide electrochemical, thermal, mechanical, electrical, and safety-related design decisions for electric vehicles. This involves characterization & optimization of battery cell performance for vehicle range, charging capability, and battery aging effects. What You'll Do (Responsibilities): • Battery Modeling & Simulation • Develop, maintain, and calibrate physiochemical, electrochemical, thermal, mechanical, and safety models for current and future battery chemistries. • Use COMSOL, MATLAB/SIMULINK, SABER, Python, and PyBaMM to implement multi-scale and multi-dimensional cell models. • Collaborate with test teams to enhance test protocols to support model development • Participate in development of material test methods and provide electrochemical parameter database • Incorporate cell performance variation, aging mechanisms, and thermal behavior into simulation frameworks • Document models, assumptions, and intended model usage • Support electric vehicle execution by releasing models integrated into full vehicle co-sims supporting calibration, diagnostics, battery state estimation, controls development and warranty • Data Mining & Automation • Develop methods to gain data insights applying statistics and machine learning to cell performance data • Improve analysis efficiency by applying variation and statistical methods paired with ML learning Your Skills & Abilities (Required Qualifications): • BS in Computer Science, Data Analytics, Statistics, Chemical, Electrical, or Mechanical Engineering Required; Chemical Engineering preferred. • Strong understanding of modeling processes and tools especially physics based degradation mechanisms and transport phenomena • 3+ years of experience using data analytics and knowledge of machine learning and predictive methods. • 3+ years of battery electrochemistry modeling experience • Proficiency using relevant tools: Python, MATLAB, Power BI, DataBricks, COMSOL, MATLAB/SIMULINK, SABER, and PyBaMM What Will Give You A Competitive Edge (Preferred Qualifications): • Advanced degree (MS or greater) in Chemical Engineering, Electrochemical Engineering, Materials Engineering, Mechanical Engineering, or Electrical Engineering with specialization in atomistic simulation or computational materials. • 5+ years of experience using data analytics and knowledge of machine learning and predictive methods. • 5+ years of battery electrochemistry modeling experience • 5+ years of atomistic MD, coarse‑grained MD, and reactive MD simulations • Solid understanding of thermo-electric technologies and systems design • Solid understanding and working knowledge of fundamental physics, equations and numerical methods underpinning all software used • Hands‑on experience with MD simulation engines such as LAMMPS, Materials Studio, AMS, VASP, Gaussian, Quantum ESPRESSO, or equivalent. • Strong programming experience in Python (NumPy, Pandas, ASE, PyTorch, SciPy), shell scripting, and scientific data analysis. • Familiarity with force‑field development, parametrization, or benchmarking. Relocation: This role MAY be eligible for relocation benefits Location: Hybrid. This role is categorized as hybrid. This means the successful candidate is expected to report to the - Global HQ Warren, Mi three times per week, at minimum [or other frequency dictated by t