• Use a variety of cell and battery pack models, fleet data, and laboratory test data to work with our controls team to create state-of-the-art feedback control and estimation algorithms for Tesla's high voltage battery packs.
• Design, implement and test cutting-edge algorithms for run-time BMS logic to derive State-of-Charge, State-of-Health, State-of-Power, and State-of-Energy computations.
• Develop and enhance existing battery models to ensure Real vs. Simulation accuracy.
• Design rapid test iteration framework for developers to use for quick, at-desk spot checks.
• Work cross-functionally with cell modeling, firmware, and battery safety organizations.

• BS or MS in computer, mechanical, electrical, aerospace, or materials engineering or proof of exceptional skills in related fields with practical software engineering experience
• Greater than 2 years of experience with battery algorithm design
• Ability to think creatively and produce "outside of the box" solutions
• Proficiency in C and C
• Experience with modeling of lithium-ion cells
• Simulating dynamic models of electrical systems
• Have knowledge in linear systems analysis and estimation algorithm design
• Capable of analyzing algorithm performance in MATLAB/Simulink
• Strong communication and preference for working in teams
• Basic experience, understanding, and intuition for the electrochemical physics of lithium-ion cells
• Experience in specifying or executing tests on cells in a laboratory environment
• Understanding of diagnostic techniques for cells and battery pack components

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