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Battery Algorithms & Controls Engineer, Energy Products

Job in Palo Alto, Santa Clara County, California, 94306, USA
Listing for: Tesla Motors, Inc.
Full Time position
Listed on 2026-07-06
Job specializations:
  • Engineering
    Electrical Engineering
Salary/Wage Range or Industry Benchmark: 128000 - 264000 USD Yearly USD 128000.00 264000.00 YEAR
Job Description & How to Apply Below

What to Expect

The Tesla Energy Products team is bringing battery and solar technology to the grid to facilitate a renewable energy ecosystem and redefine the way the world will use energy in the future. As a member of the Energy Products Architecture & Controls group, you will model, develop, specify, and implement innovative and advanced estimation and control algorithms in our residential and industrial battery systems.

This role involves collaboration with multiple teams, including engineering, firmware and service. Our team is small, committed, fast moving and we believe a diverse team of motivated individuals can accomplish almost anything. We are problem solvers, team players and game changers. If this sounds like you, Tesla just might be the place to make your mark!

What You'll Do
  • Use a variety of cell and battery pack models, fleet data, and laboratory test data to create state-of-the-art control and estimation algorithms for Tesla's high voltage battery packs
  • Work on projects related to SOx (SOC, SOE, SOH, etc.) estimation
  • Work on fault detection and mitigation of sensors, cells and battery pack components
  • Create physics-based modeling of cell and pack elements and continuously improve them using large scale fleet data
  • Des ing experiments for electrical/thermal performance characterization of battery packs
  • W rite efficient tests and evaluate the performance of models and algorithms throughout the life of the product
  • Work cross-functionally with cell modeling, firmware, and battery safety organizations
What You'll Bring
  • 2+ years of experience with battery algorithm design
  • Degree in Mechanical, Electrical, Aerospace, or other Engineering disciplines, or equivalent experience
  • Experience in modeling battery cells with a basic understanding of their electrochemical physics
  • Experience in developing reduced order electrothermal battery pack models
  • Have knowledge in linear systems analysis, estimation algorithm design, and controls theory
  • Understanding of diagnostic techniques for cells and battery pack components
  • Experience coding with Python and MATLAB/Simulink
  • Strong communication and preference for working in teams
  • Experience writing differentiable code, gradient-based optimization methods, and uncertainty quantification preferred
Compensation and Benefits

Along with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire:

  • Medical plans > plan options with $0 payroll deduction
  • Family-building, fertility, adoption and surrogacy benefits
  • Dental (including orthodontic coverage) and vision plans, both have options with a $0 paycheck contribution
  • Company Paid (Health Savings Accounts) HSA Contribution when enrolled in the High-Deductible medical plan with HSA
  • Healthcare and Dependent Care Flexible Spending Accounts (FSA)
  • 401(k) with employer match, Employee Stock Purchase Plans, and other financial benefits
  • Company paid Basic Life, AD&D
  • Short-term and long-term disability insurance (90 day waiting period)
  • Employee Assistance Program
  • Sick and Vacation time (Flex time for salary positions, Accrued hours for Hourly positions), and Paid Holidays
  • Back-up childcare and parenting support resources
  • Voluntary benefits to include: critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insurance
  • Weight Loss and Tobacco Cessation Programs
  • Tesla Babies program
  • Commuter benefits
  • Employee discounts and perks program

Expected Compensation: $128,000 - $264,000/annual salary + cash and stock awards + benefits

Pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.

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