Senior Battery Cell Electrochemistry and Molecular Dynamics Analysis Engineer
About The Position
Global Virtual Engineering (GVE) at General Motors is looking for driven individuals to become Battery Cell Electrochemistry Analysis Engineers. 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.
Requirements
- 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.
Nice To Haves
- 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.
Responsibilities
- 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.
- 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.
Benefits
- Relocation benefits may be available for this role.
- GM supports a rewarding career that rewards you personally.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
