What to Expect

As a member of the Cell Modeling team, this Engineer will develop and maintain cell lifetime models to predict aging characteristics based on test data in conjunction with electrochemistry knowledge. This role will focus primarily on supporting cell modeling for the Tesla Semi program. 

What You’ll Do
Advance the capabilities of Tesla’s cell lifetime models
Process test data and optimize model parameters to best predict cell lifetime at different scenarios for electric vehicles and energy storage products
Analyze and interpret test results to provide insight on cell degradation mechanisms
Translate degradation mechanisms into mathematical representations that can be accommodated by existing models
What You’ll Bring
Degree in Chemical Engineering, Mechanical Engineering, Electrical Engineering, Physics, Mathematics, or equivalent experience
Strong background in numerical methods, especially in optimization and numerical solutions of ODEs and PDEs
3+ years’ experience in developing empirical or physics-based models of dynamic systems, preferably in lithium-ion batteries with aging mechanisms
Hands-on experience with processing large datasets
Strong Programming skills and 3+ years’ experience in MATLAB, Python, etc.
Experience with lithium-ion batteries. Knowledge of the degradation mechanisms causing energy loss and power fade is preferred
Strong communication skills and preference for working in teams

Palo Alto, California

Full time