Tesla

Makes electric cars, robotaxis and grid batteries

Senior Reliability Engineer - Energy Products

Mechanical Maintenance and Reliability EngineeringConfirmed live in the last 24 hours

Full-timeFreiburg im Breisgau, GermanyNo salary listedIn-person

About the Job

Requirements

A master's or PhD in Electrical Engineering or a related field and at least one year of industry experience in a reliability engineering role.
Strong engineering fundamentals and understanding of accelerated testing methods, governing equations, and physics of failure for different failure mechanisms, as well as knowledge of reliability warranty analysis and reliability prediction methods.
Understanding of applied statistics and reliability statistics, including Weibull distribution, Maximum Likelihood Estimation, Bayesian methods, and Monte Carlo analysis.
Knowledge of the ReliaSoft Synthesis Platform, including Weibull++, BlockSim, ALTA, RGA, and xFMEA.
Working knowledge of programming languages, preferably Python.
Knowledge of methods to design-in reliability, including electronic computer-aided design and mechanical computer-aided engineering data in 3D finite element models.
Experience leading cross-functional teams.

Responsibilities

Create fault trees and reliability block diagrams to assess system reliability and warranty analysis, and set reliability requirements and targets for sites, products, subsystems, and components.
Facilitate Design FMEA sessions to drive reliable design choices and improve validation test programs. Specify reliability validation plans for components and subsystems using physics of failure.
Analyze field usage and environmental conditions to improve requirements and testing methods. Apply statistical analysis to accelerated-life test data and field-life data to inform reliability physics modeling and analyses and associated corrective actions.
Work closely with Design and Reliability Data engineers to create, interpret, and validate numeric models of fielded and in-test products. 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 communicate risk at each phase of product development and for released products. Facilitate failure analysis to understand root causes and resolve failures during product development.
Provide reliability design guidelines and apply reliability lessons learned to enable continuous improvement. Answer complex questions about fleet usage and behavior to enable proactive health monitoring, improve reliability, and minimize field failures.

Desired Qualifications

Python programming experience is preferred.

Category	Energy Engineering
Location	Freiburg im Breisgau
Requisition ID	277078
Type	Full-time

Job Description

<div class="MSWordContent"><p>As a Senior Reliability Engineer focusing on Tesla Energy Products, you will play a key role in designing reliability for Tesla’s Energy products. This role follows the reliability lifecycle of the product from concept to design, development 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 Energy system’s robustness and optimize product reliability while accelerating Tesla’s next gen products’ time to market.</div>

Job Responsibilities

Create Fault Trees and reliability block diagrams to assess system reliability and warranty analysis and setting reliability requirements and targets for site, product, subsystem, and components
Facilitate Design FMEA sessions to drive reliable design choices and improve validation test programs.  Specify reliability validation plans for components and subsystems using physics of failure
Analyze usage and environmental conditions from the field to improve requirement setting and testing methods.  Apply statistical analysis to test (accelerated life) and field (life) 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.  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.  Facilitate failure analysis to understand root cause and drive resolution of failures occurring 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, grow reliability, and minimize field failures

Job Requirements

MSc/PhD in Electrical Engineering or related field and one or more years of industry experience in a reliability engineering role
Solid Engineering fundamentals and understanding of accelerated testing methods, governing equations, and physics of failure for different failure mechanisms with Knowledge of reliability warranty analysis and reliability prediction methods.   
Understanding of applied statistics and reliability statistics (Weibull distribution, Maximum Likelihood Estimation, Bayesian methods, Monte Carlo analysis, etc.) 
Knowledge of the ReliaSoft Synthesis Platform, including Weibull++, BlockSim, ALTA, RGA, and xFMEA. Working knowledge of programming languages, preferably Python 
Knowledge of methods to design-in reliability, including electronic computer-aided design and mechanical computer-aided engineering (CAE) data into 3D finite element models  
Strong communication skills and experience leading cross functional teams

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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