Senior Reliability Engineer, Energy Products (m/f/d)

Tesla Germany GmbH; Freiburg im Breisgau; Vor Ort; EUR 85.000 - 105.000; Vollzeit

Benefits dieser Stelle

Equal opportunity employer

Zusammenfassung

Tesla Germany GmbH in Freiburg im Breisgau seeks a Senior Reliability Engineer for Energy Products to design and validate reliability across the lifecycle, from concept to field operation, using physics‑of‑failure analyses and accelerated testing to optimize product robustness.

The role requires expertise in reliability modeling, Weibull statistics, and cross‑functional collaboration with design and data teams to drive proactive health monitoring and minimize field failures.

Qualifikationen

• MSc/PhD in Electrical Engineering or related field.
• Solid engineering fundamentals and understanding of accelerated testing methods and physics of failure.
• Understanding of statistics and reliability statistics (Weibull, MLE, Bayesian, Monte Carlo).
• Knowledge of ReliaSoft Synthesis Platform and programming in Python.

Aufgaben

• Create Fault Trees and reliability block diagrams for system and component reliability.
• Lead Design FMEA sessions and specify reliability validation plans.
• Analyze field data and life-test data to inform reliability models.
• Collaborate with Design and Reliability Data engineers on numerical models and sampling plans.
• Communicate risk and drive reliability improvements across product stages.

Kenntnisse

Reliability engineering

Statistical analysis

Programming (Python)

Cross-functional leadership

Communication skills

Ausbildung

MSc/PhD in Electrical Engineering or related field

Tools

ReliaSoft Synthesis Platform

Python

Jobbeschreibung

Senior Reliability Engineer, Energy Products (m/f/d)

Senior Reliability Engineer, Energy Products (m/f/d)

Senior Reliability Engineer, Energy Products (m/f/d)

What to Expect

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, developmenttesting/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 acceleratingTesla’s next gen products’time to market.

What You’ll Do

• 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

What You’ll Bring

• 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

Tesla is an Equal Opportunity / Aff…

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Tesla Germany GmbH