Battery Cell Electrochemistry Analysis Engineer

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. As a company we are focused on using virtual tools as the primary driver to enable speed and built in quality. 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.

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:

• 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 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 deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Total Rewards | Benefits Overview

From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us [email protected] or call us at 800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Client-provided location(s): Warren, MI

Job ID: General_Motors-JR-202600897

Employment Type: FULL_TIME

Posted: 2026-01-22T00:19:41