General Motors · 2 weeks ago
Battery Cell Electrochemistry Analysis Engineer
Warren, Michigan, United States of America
Full-time
Hybrid
Mid, Senior Level
3+ years expGeneral Motors is redefining mobility through innovative vehicle design and engineering. The Battery Cell Electrochemistry Analysis Engineer will focus on developing and deploying multi-physics battery cell models, combining electrochemical modeling with data science to guide key design decisions for electric vehicles.
AutomotiveElectric VehicleInformation ServicesManufacturingTransportation
Responsibilities
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
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
Qualification
Required
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
Preferred
Advanced degree (MS or greater) in Chemical Engineering, Electrochemical Engineering, Materials Engineering, Mechanical Engineering, or Electrical Engineering preferred
5+ years of experience using data analytics and knowledge of machine learning and predictive methods
5+ years of battery electrochemistry modeling experience
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
Benefits
Relocation benefits
Company
General Motors
General Motors is an automotive company that designs, produces, markets, and distributes vehicles and vehicle parts.
10001+ employees
H1B Sponsorship
General Motors has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (787)
2024 (740)
2023 (450)
2022 (795)
2021 (748)
2020 (452)
Funding
Current Stage
Public CompanyTotal Funding
$8.51BKey Investors
US Department of Energy
2025-05-05Post Ipo Debt· $2B
2024-10-31Grant· $8M
2024-07-11Grant· $500M
Leadership Team
Mary Barra
Chair and Chief Executive Officer
Tony Cervone
Senior Vice President, Global Communications
Recent News
WSJ.com: US Business
2026-02-04
2026-02-04
2026-02-03
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