Senior Battery Cell Electrochemistry Engineer – Molecular Dynamics Analysis

General Motors

. Develop, maintain, and calibrate physiochemical, electrochemical, thermal, mechanical, and safety models for current and future battery chemistries .

Posted 10/8/2026full-timeWarren • Michigan • United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in battery electrochemistry modeling, data analytics, and machine learning, with proficiency in Python and MATLAB for developing and calibrating complex models. Capable of providing technical leadership in cross-functional teams to optimize battery cell design for electric vehicles.

Highest-signal resume keywords

Battery Electrochemistry ModelingData AnalyticsMachine LearningPython ProgrammingCOMSOL Simulation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Battery Electrochemistry ModelingData AnalyticsMachine LearningPython ProgrammingMATLAB/SIMULINKCOMSOLSABERPyBaMMStatistical MethodsMD Simulation

Soft Skills

Technical LeadershipCollaboration

Tools & Technologies

Power BIDataBricksLAMMPSMaterials StudioAMSVASPGaussianQuantum ESPRESSO

Industry Keywords

Electrochemical EngineeringThermo-Electric TechnologiesTransport PhenomenaPhysics-Based Degradation MechanismsNumerical Methods

Tech Stack

Tools & technologies

NumpyPandasPythonPyTorchShell Scripting

About the role

Key responsibilities & impact

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 supporting model development
Participate in development of material test methods and provide an electrochemical parameter database
Incorporate cell performance variation, aging mechanisms, and thermal behavior into simulation frameworks
Document models, assumptions, and intended model usage
Release models integrated into full-vehicle co-simulations supporting calibration, diagnostics, battery state estimation, controls development, and warranty
Develop methods to gain data insights using statistics and machine learning on cell performance data
Improve analysis efficiency by applying variation and statistical methods paired with machine learning
Provide cross-functional technical leadership to support battery cell design optimization for electric vehicles

Requirements

What you’ll need

BS in Computer Science, Data Analytics, Statistics, Chemical, Electrical, or Mechanical Engineering required
Chemical Engineering preferred
3+ years of experience using data analytics and knowledge of machine learning and predictive methods
3+ years of battery electrochemistry modeling experience
Strong understanding of modeling processes and tools, especially physics-based degradation mechanisms and transport phenomena
Proficiency using Python, MATLAB, Power BI, DataBricks, COMSOL, MATLAB/SIMULINK, SABER, and PyBaMM
Advanced degree in Chemical Engineering, Electrochemical Engineering, Materials Engineering, Mechanical Engineering, or Electrical Engineering with specialization in atomistic simulation or computational materials preferred
Preferred: 5+ years of experience using data analytics and knowledge of machine learning and predictive methods
Preferred: 5+ years of battery electrochemistry modeling experience
Preferred: 5+ years of atomistic MD, coarse-grained MD, and reactive MD simulations
Solid understanding of thermo-electric technologies and systems design
Solid understanding and working knowledge of fundamental physics, equations, and numerical methods underpinning software used
Hands-on experience with MD simulation engines such as LAMMPS, Materials Studio, AMS, VASP, Gaussian, Quantum ESPRESSO, or equivalent
Strong programming experience in Python (NumPy, Pandas, ASE, PyTorch, SciPy), shell scripting, and scientific data analysis
Familiarity with force-field development, parametrization, or benchmarking
GM does not provide immigration-related sponsorship; applicants must not require GM immigration sponsorship now or in the future
Applicants may be required to complete role-related assessments and/or pre-employment screening

Benefits

Comp & perks

Relocation benefits may be eligible, although the posting later states this role is not eligible for relocation benefits
General Motors benefits supporting employee well-being at work and at home
Reasonable accommodations for applicants with disabilities