Tesla

Makes electric cars, robotaxis and grid batteries

Senior Reliability Engineer - Thermal & Mechanical, Energy Products

Mechanical Maintenance and Reliability EngineeringConfirmed live in the last 24 hours

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

About the Job

Requirements

A bachelor's degree in Mechanical Engineering, Materials Engineering, or a related field, and three years of experience in a Reliability Engineering role or equivalent experience.
Understanding of accelerated testing methods, governing equations, and physics of failure for different failure mechanisms.
Understanding of applied statistics and reliability statistics, including Weibull distribution, Maximum Likelihood Estimation, Bayesian methods, and Monte Carlo analysis.
Understanding of Accelerated Degradation modeling and reliability prediction methods.
Knowledge of material degradation mechanisms and their impact on mechanical performance.
Experience analyzing test results and interpreting reliability insights.
Knowledge of reliability growth techniques, such as Crow-AMSAA and Crow Extended.
Knowledge of the ReliaSoft Synthesis Platform, including Weibull++, BlockSim, ALTA, RGA, and xFMEA.
Working knowledge of failure analysis techniques such as optical microscopy, Scanning Electron Microscopy, Confocal Scanning Acoustic Microscopy, X-ray, cross-sectioning, and EDX.
Working knowledge of programming languages, preferably Python or Matlab.

Responsibilities

Facilitate Design FMEA sessions to detect risks, drive reliable design choices, and inform validation testing.
Set and communicate reliability requirements and targets for site, product, subsystem, and components.
Define reliability test plans and test conditions, and set test duration and sample size based on physics of failure modeling and accelerated life testing principles.
Analyze laboratory and field test data to identify reliability trends, forecast reliability estimates using statistical analysis such as Weibull analysis and physics of failure models, and recommend design improvements.
Analyze field usage and environmental conditions to improve requirement setting and testing methods.
Communicate and drive test plans, results, learnings, and recommendations to organizational stakeholders.
Collaborate with test, reliability data science, design, architecture modeling, service, and quality teams to identify potential reliability issues and drive corrective actions.
Research failure mechanisms to build more robust validation plans and influence design choices.
Drive reliability assessments in product design reviews and clearly communicate risk at each product development phase and for released products.
Influence supplier selection for higher reliability and provide suppliers with guidance on reliability requirements and demonstration.
Facilitate failure analysis to understand root causes and drive resolution of failures during product development.
Provide reliability design guidelines and apply reliability lessons learned to enable continuous improvement.
Answer complex questions on fleet usage and behavior to enable proactive health monitoring, improve reliability, and minimize field failures.

Category	Energy Engineering
Location	Palo Alto, California
Requisition ID	272296
Type	Full-time

Job Description

As a Mechanical Reliability Engineer focusing on Tesla's energy products, specifically Megapack, you will play a key role in designing reliability into Tesla’s industrial energy storage systems ensuring the products meet the highest standards of reliability. This role follows the reliability lifecycle of the product from concept to design, validation testing/analysis, manufacturing, and field operation to design-in, confirm, and grow exceptional reliability at every stage. You will investigate failures through physics of failure analysis and physical testing to accurately predict the system’s robustness and optimize product reliability while accelerating Tesla’s next gen products’ time to market. This role is ideal for an Engineer who is passionate about reliability physics, enjoys problem-solving, and thrives in a fast-paced collaborative environment.

Level will be determined after the interviews are completed.

Job Responsibilities

Facilitate Design FMEA sessions to detect risks, drive reliable design choices and inform validation testing
Set and communicate reliability requirements and targets for site, product, subsystem, and components
Define reliability test plans, design test conditions, set test duration and sample size, based on physics of failure modeling and accelerated life testing principles
Analyze lab test data and field data to identify reliability trends, forecast reliability estimates utilizing statistical analysis (e.g., Weibull analysis, physics of failure models) and recommend design improvements. Analyze usage and environmental conditions from field to improve requirement setting and testing methods 
Communicate and drive test plans, results, learnings, and recommendations to various stakeholders within the organization
Closely collaborate with cross-functional teams, including test, reliability data science, design, architecture modeling, service, and quality to identify potential reliability issues and drive the corrective actions
Research failure mechanisms to build more robust validation plans and influence design choices. Drive reliability assessments in product design reviews and clearly communicate risk at each phase of product development and for released products
Influence supplier selection for higher reliability and provide clear guidance on reliability requirements and demonstration to suppliers
Facilitate failure analysis to understand root cause and drive resolution of failures occurring during product development phases
Provide reliability design guidelines and apply reliability lessons learned to enable continuous improvement. Answer complex questions on fleet usage and behavior to enable proactive health monitoring, grow reliability, and minimize field failures

Job Requirements

Bachelor's Degree in Mechanical Engineering, Materials Engineering or a related field and three years of experience in a Reliability Engineering role or equivalent experience
Understanding of accelerated testing methods, governing equations, and physics of failure for different failure mechanisms
Understanding of applied statistics and reliability statistics (Weibull distribution, Maximum Likelihood Estimation, Bayesian methods, Monte Carlo analysis, etc.) 
Understanding of Accelerated Degradation modeling and reliability prediction methods
Knowledge of material degradation mechanisms and their impact on mechanical performance
Experience analyzing test results and interpreting reliability insights
Knowledge of reliability growth techniques, such as Crow-AMSAA and Crow Extended
Knowledge of the ReliaSoft Synthesis Platform, including Weibull++, BlockSim, ALTA, RGA, and xFMEA
Working knowledge of failure analysis techniques such as optical microscopy, SEM (Scanning Electron Microscopy), CSAM (Confocal Scanning Acoustic Microscopy), X-ray, cross-sectioning and EDX 
Working knowledge of programming languages, preferably Python, or Matlab

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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