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Battery Cell Electrochemistry Analysis Engineer

Job in Warren, Macomb County, Michigan, 48091, USA
Listing for: GM
Full Time position
Listed on 2026-03-01
Job specializations:
  • Engineering
    Electrical Engineering
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

Overview

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

Global Virtual Engineering (GVE) at General Motors is looking for driven individuals to become Computer Aided Engineers (CAE) and lead the future of virtual engineering. This position is a highly technical, interdisciplinary role focused on advancing the future of virtual engineering by developing, integrating, and deploying multi-physics battery cell and pack models. It combines electrochemical modeling, data science, battery design optimization, and cross-functional technical leadership to deliver models and tools that guide design decisions for electric vehicles, including electrochemical, thermal, mechanical, electrical, and safety-related aspects, and characterization & optimization of battery cell performance for vehicle range, charging capability, and aging effects.

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.
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, Data Bricks, COMSOL, MATLAB/SIMULINK, SABER, and PyBaMM.
Competitive Edge (Preferred Qualifications)
  • 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.

This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week or other frequency dictated by their manager. This job may be eligible for relocation benefits.

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our…

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