Senior Battery Cell Electrochemistry and Molecular Dynamics Analysis Engineer

General Motors Corporation; Warren (MI); Hybrid; USD 120,000 - 190,000; Full time

Job summary

General Motors in Warren, Michigan is seeking a Senior Battery Cell Electrochemistry and Molecular Dynamics Analysis Engineer to advance electrochemical models, thermal and mechanical behavior, and battery aging insights for future EVs. The role blends physics-based modeling with data science to guide design decisions across modules and vehicle integration.

You will work with tools such as Python, MATLAB, COMSOL, and PyBaMM, collaborate across test teams, and help release models into

Qualifications

• BS in a relevant engineering or science field required.
• Experience with data analytics and machine learning essential.
• Strong background in electrochemical modeling and battery degradation.

Responsibilities

• Develop and calibrate electrochemical and thermal models for battery cells.
• Implement multi-scale cell models using Python, MATLAB, and COMSOL.
• Collaborate with test teams to optimize protocols and validate models.
• Lead data mining efforts and apply ML methods to cell performance data.

Skills

Data analytics

Machine learning

Electrochemical modeling

Battery degradation mechanisms

Multiscale modeling

Data science

Education

Bachelor's degree in Computer Science, Data Analytics, Statistics, Chemical, Electrical, or Mechanical Engineering

Master's degree or higher in Chemical Engineering, Electrochemical Engineering, Materials Engineering, Mechanical Engineering, or Electrical Engineering

Tools

Python

MATLAB

COMSOL

PyBaMM

SABER

LAMMPS

Pandas

NumPy

Job description

## Senior Battery Cell Electrochemistry and Molecular Dynamics Analysis EngineerApply: Remote/Hybrid: Warren, Michigan, United States of America: Full time: Posted Today: JR-202621180**Job Description****The Role**Global Virtual Engineering (GVE) at General Motors is looking for a driven individuals to become Battery Cell Electrochemistry Analysis Engineer. This position is a highly technical, interdisciplinary role focused on advancing the future of battery cell design.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 (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 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 with specialization in atomistic simulation or computational materials.* 5+ years of experience using data analytics and knowledge of machine learning and predictive methods.* 5+ years of battery electrochemistry modeling experience* 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 all 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.**Relocation: This role MAY be eligible for relocation benefits****Location: Hybrid. This role is categorized as hybrid. This means the successful candidate is expected to report to the - Global HQ Warren, Mi three times per week, at minimum [or other frequency dictated by the business]** GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc).This role is based remotely, but if the selected candidate lives within a specific mile radius of a GM hub, they will be expected to report to the location three times a week {or other frequency dictated by your manager}.This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate.