Battery Reliability Engineer, Energy Systems

at  Tesla

Tesla participates in the E-Verify Program
What to Expect
We’re looking for an exceptional Battery Reliability Engineer to join Tesla’s Energy Engineering team. This role follows the reliability lifecycle of energy storage systems from concept to design, development, manufacturing, and field operation to design-in, confirm, and grow exceptional reliability at every stage. You will be utilizing large-scale data and help Tesla engineers design and validate the most compelling and reliable battery energy storage products for our customers.

What You’ll Do

• Analyze usage and environmental conditions from the field to improve requirement setting and testing methods
• Apply statistical analysis to test and field data to inform reliability physics modeling/analyses and associated corrective actions. Work closely with Design and Reliability Data engineers to create/interpret/validate numeric models of fielded and in-test products
• Specify reliability validation plans for components and subsystems using physics of failure
• Provide guidance on sample size requirements and durations for reliability testing using lifetime models and reliability statistics
• Drive reliability assessments in product design reviews and clearly communicate risk at each phase of product development and for released products. Provide reliability design guidelines and apply reliability lessons learned to enable continuous improvement
• Facilitate failure analysis to understand root cause and drive resolution of failures occurring during product development
• Research failure mechanisms to build more robust validation plans and influence design choices
• Influence supplier selection for higher reliability and provide clear guidance on reliability requirements and demonstration to suppliers
• Answer complex questions on fleet usage and behavior to enable proactive health monitoring, grow reliability, and minimize field failures

What You’ll Bring

• Understanding of accelerated testing methods, governing equations, and physics of failure for failure mechanisms in battery energy storage systems
• Understanding of applied statistics and reliability statistics (Weibull distribution, Maximum Likelihood Estimation, Bayesian methods, Monte Carlo analysis, etc.)
• Working knowledge of failure analysis techniques such as optical microscopy, SEM, X-ray, cross-sectioning, EDX, FTIR, and DSC
• Knowledge of the ReliaSoft Synthesis Platform, including Weibull++, BlockSim, and ALTA
• Working knowledge of programming languages, preferably Python
• Strong communication skills and experience in leading cross functional teams
• Knowledge of reliability warranty analysis and reliability prediction methods
• Experience working with complex electro-mechanical systems and familiarity with battery energy storage systems
• Bachelor of Science Degree in Engineering, Physics, or equivalent

Compensation and Benefits
Benefits

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

• Aetna PPO and HSA plans > 2 medical 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 Account) HSA Contribution when enrolled in the High Deductible Aetna medical plan with HSA
• Healthcare and Dependent Care Flexible Spending Accounts (FSA)
• LGBTQ+ care concierge services
• 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
• Employee Assistance Program
• Sick and Vacation time (Flex time for salary 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
$84,000 - $276,000/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.
Tesla is an Equal Opportunity / Affirmative Action employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state or local laws.
Tesla is also committed to working with and providing reasonable accommodations to individuals with disabilities. Please let your recruiter know if you need an accommodation at any point during the interview process.

• Analyze usage and environmental conditions from the field to improve requirement setting and testing methods
• Apply statistical analysis to test and field data to inform reliability physics modeling/analyses and associated corrective actions. Work closely with Design and Reliability Data engineers to create/interpret/validate numeric models of fielded and in-test products
• Specify reliability validation plans for components and subsystems using physics of failure
• Provide guidance on sample size requirements and durations for reliability testing using lifetime models and reliability statistics
• Drive reliability assessments in product design reviews and clearly communicate risk at each phase of product development and for released products. Provide reliability design guidelines and apply reliability lessons learned to enable continuous improvement
• Facilitate failure analysis to understand root cause and drive resolution of failures occurring during product development
• Research failure mechanisms to build more robust validation plans and influence design choices
• Influence supplier selection for higher reliability and provide clear guidance on reliability requirements and demonstration to suppliers
• Answer complex questions on fleet usage and behavior to enable proactive health monitoring, grow reliability, and minimize field failure