Tesla

Li-Ion Cell Lifetime Modeling Engineer

Tesla Palo Alto, CA

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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.

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
  • MS or PhD in Chemical Engineering, Mechanical Engineering, Electrical Engineering, Physics, Mathematics or equivalent.
  • 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 Li ion batteries. Knowledge of the degradation mechanisms causing energy loss and power fade is helpful but not strictly necessary.
  • Strong communication skills and preference for working in teams
  • Seniority level

    Entry level
  • Employment type

    Full-time
  • Job function

    Engineering and Information Technology
  • Industries

    Renewable Energy Semiconductor Manufacturing, Motor Vehicle Manufacturing, and Utilities

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Modeling Engineer in Palo Alto, CA

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