Tesla

Makes electric cars, robotaxis and grid batteries

Cell Lifetime Modeling Engineer

Design EngineeringConfirmed live in the last 24 hours

Full-timePalo Alto, CA, USANo salary listedIn-person

About the Job

Requirements

A degree in Chemical Engineering, Mechanical Engineering, Electrical Engineering, Physics, or Mathematics, or equivalent experience.
A strong background in numerical methods, especially optimization and numerical solutions of ordinary and partial differential equations.
At least 3 years of experience developing empirical or physics-based models of dynamic systems.
Hands-on experience processing large datasets.
Strong programming skills and at least 3 years of experience with MATLAB, Python, or similar tools.
Experience with lithium-ion batteries.
Strong communication skills and a preference for working in teams.

Responsibilities

Advance the capabilities of Tesla’s cell lifetime models.
Process test data and optimize model parameters to best predict cell lifetime under different scenarios for electric vehicles and energy storage products.
Analyze and interpret test results to provide insight into cell degradation mechanisms.
Translate degradation mechanisms into mathematical representations that can be accommodated by existing models.

Desired Qualifications

Experience developing empirical or physics-based models of dynamic systems, preferably involving lithium-ion batteries with aging mechanisms.
Knowledge of degradation mechanisms that cause energy loss and power fade.

Category	Engineering & Information Technology
Location	Palo Alto, California
Requisition ID	283292
Type	Full-time

Job Description

<p>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.</p>

Job Responsibilities

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

Job Requirements

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

About the Company

Tesla

Makes electric cars, robotaxis and grid batteries

Tesla makes electric cars and batteries that store power for homes and utilities, and it develops self-driving software and humanoid robots. In 2023, its Model Y became the first electric vehicle to rank as the world's best-selling car. Buyers order the Model 3 sedan, Model Y SUV, or Cybertruck pickup directly from Tesla instead of through dealers, and they charge on its Supercharger fast-charging network. It also sells Megapack and Powerwall batteries, runs a robotaxi service, and charges drivers a monthly fee for self-driving software that still needs their supervision. Tesla was founded in 2003, with Elon Musk as its lead early investor and a recognized co-founder, and it is based in Austin, Texas.

Company size: 10,001+
Company stage: IPO
Headquarters: Austin, TX
Founded: 2003

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