Racing Battery Modeling Engineer — Electrochemical

Ford-Motor-Company; Allen Park (MI); Hybrid; USD 74,000 - 125,000; Full time

Benefits offered by this job

Medical coverage

Family care days

Adoption benefits

Vehicle discount program

Tuition assistance

Paid time off

Paid holidays

Job summary

Ford Racing is seeking a hands-on battery modeling engineer to join a small, high-performing motorsports team. You will translate test data into physics-based models of Li-Ion cells, influence cell chemistry decisions, and help shape future battery designs.

You will use MATLAB, COMSOL, GT-Suite and Simulink to build electrochemical, thermal, and circuit models, collaborate with design staff, and guide testing strategies to ensure data supports rapid development and improved performance on track.

Qualifications

• Bachelor’s degree in Engineering, Chemistry, Materials Science, or related field.
• 2+ years of direct experience modeling Li-Ion battery cells.
• Experience with engineering software such as COMSOL, GT-Suite, Python and MATLAB/Simulink.

Responsibilities

• Build and refine electrochemical models to drive future development and guide cell chemistry directions.
• Develop thermal and equivalent circuit models to predict performance under track conditions.
• Collaborate with array design engineers to optimize cooling and integration.
• Provide technical expertise to a global Ford Racing team and stakeholders.
• Guide testing strategies and define BMS requirements related to cell state and life.

Skills

Battery modeling

Python

MATLAB

Simulink

COMSOL

GT-Suite

Education

Bachelor’s degree in Engineering or related field

Tools

MATLAB

COMSOL

GT-Suite

Python

Simulink

Job description

Ford Racing is seeking a hands-on battery modeling engineer to join a small, high-performing motorsports team. You will translate test data into physics-based models of Li-Ion cells, influence cell chemistry decisions, and help shape future battery designs.

You will use MATLAB, COMSOL, GT-Suite and Simulink to build electrochemical, thermal, and circuit models, collaborate with design staff, and guide testing strategies to ensure data supports rapid development and improved performance on track.