Senior Battery Cell Electrochemistry and Molecular Dynamics Analysis Engineer (Battery Electrochemistry)

Location: Hybrid in Warren, Michigan, United States; report to the Global HQ at least three times per week.

Company

hirify.global develops automotive technologies focused on zero crashes, zero emissions, and zero congestion.

What you will do

• Develop, maintain, and calibrate physicochemical, electrochemical, thermal, mechanical, and safety models for current and future battery chemistries.
• Implement multi-scale and multi-dimensional cell models using COMSOL, MATLAB/Simulink, SABER, Python, and PyBaMM.
• Characterize and optimize battery cell performance for vehicle range, charging capability, aging, and thermal behavior.
• Collaborate with test teams to improve test protocols, material test methods, and electrochemical parameter databases.
• Release models into full-vehicle co-simulations supporting calibration, diagnostics, battery state estimation, controls development, and warranty analysis.
• Apply statistics, machine learning, and automation to identify insights in cell performance data and improve analysis efficiency.

Requirements

• Bachelor's degree in Computer Science, Data Analytics, Statistics, Chemical, Electrical, or Mechanical Engineering; Chemical Engineering is preferred.
• At least 3 years of experience in battery electrochemistry modeling.
• At least 3 years of experience with data analytics, machine learning, and predictive methods.
• Proficiency with Python, MATLAB, Power BI, Databricks, COMSOL, MATLAB/Simulink, SABER, and PyBaMM.
• Strong understanding of physics-based degradation mechanisms, transport phenomena, modeling processes, and tools.
• GM does not provide immigration sponsorship; existing authorization to work in the United States is required.

Nice to have

• Advanced degree in Chemical, Electrochemical, Materials, Mechanical, or Electrical Engineering, specializing in atomistic simulation or computational materials.
• Five or more years of battery electrochemistry modeling, data analytics, or predictive methods experience.
• Experience with atomistic, coarse-grained, or reactive molecular dynamics simulations.
• Experience with LAMMPS, Materials Studio, AMS, VASP, Gaussian, Quantum ESPRESSO, or equivalent tools.
• Experience with force-field development, parametrization, benchmarking, Python scientific libraries, shell scripting, and scientific data analysis.

Culture & Benefits

• Interdisciplinary work within Global Virtual Engineering on advanced battery cell design.
• Benefits and total rewards supporting employee well-being at work and at home.
• Inclusive workplace focused on belonging and equitable employment opportunities.
• Role-related assessments or pre-employment screening may be required.

Hiring process

• Applicants may complete role-related assessments and pre-employment screening before starting.