Battery Electrochemistry Modeling Engineer (Multi-Physics)

General Motors

Warren (MI)

On-site

USD 90,000 - 130,000

Full time

14 days+

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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

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

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