Battery Cell Modeling Engineer

GM Performance Power Units • Concord, NC

4d • Onsite

About The Position

GM Performance Power Units (GM PPU) is seeking a highly skilled and motivated Battery Cell Modeling Engineer to join our innovative engineering team in Concord, NC. This vital role focuses on developing and advancing different types of battery cell and subcomponent models to understand and improve charge and discharge performance using physics-based, equivalent circuit model (ECM), and machine learning methods, with a secondary focus on degradation & durability models.

Requirements

• Advanced degree in Chemical Engineering, Chemistry, Materials Science, Mechanical Engineering, or related technical field with applicable research work; OR Bachelor’s degree with 2+ years of relevant industry experience.
• Good understanding of lithium-based battery electrochemistry and cell mechanisms.
• Experience with PyBAMM, COMSOL, GT-AutoLion, or other physics-based electrochemical modeling tools.
• Proven experience in physics-based and data-driven (i.e. machine learning) battery cell modeling techniques.
• Advanced skills in Python, MATLAB, or Julia for data analysis and/or modeling.
• Excellent verbal and written communication skills with ability to work effectively in multidisciplinary teams.

Nice To Haves

• Self-driven with a demonstrated ability to lead projects independently.
• Familiarity with battery testing methodologies and protocols.
• Experience with laboratory testing setups and electrolyte chemistry preferred.
• Strong mathematical and analytical capabilities to handle complex data processing tasks.
• Experience with atomistic simulation methods (e.g. Molecular Dynamics (MD), Density Functional Theory (DFT)) to understand reaction mechanisms, material properties, and degradation pathways is a plus but not mandatory.

Responsibilities

• Develop multiphysics and data-driven models of lithium-ion battery cells capturing electrochemical, thermal, and mechanical behaviors under diverse operating conditions.
• Model and predict key cell performance aspects including rate capability, impedance, degradation, and safety-related behaviors.
• Design experimental plans to collect data for model training and validation.
• Analyze complex battery test datasets using Python, MATLAB, and other analytical tools.
• Contribute to simulation-driven design iterations by developing and exercising high-fidelity models to optimize cell performance.
• Collaborate with cross-functional teams (battery engineering, controls, and software) to integrate models and optimize battery performance.
• Review current scientific literature and provide technical insights to the team.
• Document and communicate model developments and innovations clearly.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level