Battery Cell Electrochemistry Analysis Engineer

General Motors; Warren (MI); On-site; USD 90,000 - 130,000; Full time

Job summary

General Motors in Warren, MI seeks a Computer Aided Engineer to advance virtual engineering for battery cell and pack models. You will develop, integrate, and deploy multi-physics simulations to guide design decisions across electrochemical, thermal, mechanical, and safety domains.

You will work with tools like COMSOL, MATLAB/SIMULINK, SABER, Python, and PyBaMM to create scalable models, validate against data, and enable full-vehicle co-sim calibrations for range, charging, aging, and safety

Qualifications

• Bachelor's in engineering required; chemical, electrical, CS or mechanical with chemical preferred.
• Strong understanding of physics-based degradation and transport phenomena.
• 2+ years in industry executing battery modeling & analysis.

Responsibilities

• Develop, maintain, and calibrate physiochemical, electrochemical, thermal, mechanical, and safety models.
• Use COMSOL, MATLAB/SIMULINK, SABER, Python, PyBaMM for multi-scale models.
• Incorporate aging and thermal behavior into simulation frameworks.
• Document models and intended usage.
• Support EV execution with models integrated into vehicle co-sims for calibration and diagnostics.

Skills

Battery modeling & analysis

Physics-based degradation

Transport phenomena understanding

Multi-physics thinking

Education

BSE Chemical Engineering

BSE Electrical Engineering

BSE Computer Science

BSE Mechanical Engineering

Chemical Engineering preferred

Tools

COMSOL

MATLAB/SIMULINK

SABER

Python

PyBaMM

Job description

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 peopleas we aim to makedriving 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
• 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

Your Skills & Abilities (Required Qualifications)

• BSE Chemical, Electrical, Computer Science, or Mechanical Engineering Required; Chemical Engineering preferred. Computer Science
• Strong understanding of modeling processes and tools especially physics based degradation mechanisms and transport phenomena
• 2+ years of experience in industry executing battery modeling & analysis

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.
• Solid understanding and working knowledge of fundamental physics, equations and numerical methods underpinning all software used