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Battery Modeling Engineer

EnerVenue
FULL_TIME Remote · US Fremont, CA, Alameda, US Posted: 2026-05-11 Until: 2026-07-10
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Job Description
Mission: EnerVenue is seeking a hands-on battery modeling engineer to strengthen our execution capability. This role focuses on model implementation, simulation framework development, and parameter identification. This is an execution-focused role supporting model development, validation, and integration into BMS and system-level simulations. 1) Position Targets / Outcomes: Model Development & Simulation Implement equivalent circuit models (ECM) in MATLAB/Simulink Develop reusable simulation blocks for SOC/SOH estimation testing Build parameterized models across temperature, SOC, and aging states Develop automated parameter identification workflows Maintain model version control and documentation Electrochemical and Thermal Modeling Work on electrochemical and thermal model development Interpreting experimental data to extract modeling parameters Contribute to validation of degradation and performance hypotheses Translate electrochemical insights into simulation-ready formats Data Processing & Parameter Identification OCV–SOC curve fitting Resistance modeling vs temperature and SOC Aging trend analysis System & BMS Interface Support Prepare model outputs for BMS algorithm validation Support simulation of dynamic power limits Assist in worst-case scenario modeling (temperature, end-of-life) Collaborating with BMS and system engineering teams 2) Requirements: MSc with 3–6 years of relevant experience in battery modeling or physical system simulation OR PhD in Chemistry, Applied Mathematics, Physics, Computational Science, or a related quantitative discipline with 0–3 years of post-PhD experience Strong proficiency in MATLAB and Simulink (required) Strong mathematical modeling and numerical analysis skills Experience in parameter identification and curve fitting Solid understanding of electrochemical fundamentals 3) Ideal Mindset & Competencies Strong first-principles thinking and ability to reason from physical fundamentals. Comfortable working in an R&D environment with evolving models and technical uncertainty. Strong mathematical intuition and understanding of nonlinear system behavior. Builder mindset with hands-on execution capability in modeling and simulation. Collaborative, open to technical feedback, and able to work within a defined technical leadership structure. Disciplined in documentation and model version control. Motivated to learn and contribute to novel battery chemistry development.