
Senior Reliability Engineer
Posted 2 days ago

Posted 2 days ago
This is a fully remote position, open to applicants in Germany.
• Accountable for Reliability Systems Engineering and the management of technical risks associated with complex systems and components.
• Design and implement concepts aimed at enhancing reliability.
• Conduct reliability analyses and compute failure rates, probabilities of failure, and predictions of product lifespan.
• Utilize Weibull analyses, Weibayes methodologies, Monte Carlo simulations, and S–N (Wöhler) curves.
• Develop and assess FMEA/FMECA analyses.
• Investigate damage mechanisms, degradation effects, and corrosion processes as part of Physics-of-Failure studies.
• Evaluate the reliability of materials, electronic components, and assemblies.
• Collaborate on reliability initiatives with internal expert departments, international clients, and suppliers.
• Assist cross-functional teams in conducting root-cause analyses for customer complaints and field failures.
• Advance reliability models and establish optimization strategies.
• Work in accordance with IEC standards and relevant industry reliability standards.
• Employ Python, MATLAB, or Excel/VBA for modeling and data analysis.
• A completed degree in Mechanical Engineering, Aerospace Engineering, Physics, Chemistry, Mathematics, Materials Science, Electrical Engineering, or a related field.
• Several years of professional experience in Reliability Engineering, Systems Engineering, or the technical development of intricate systems.
• Strong knowledge of reliability engineering, statistical methodologies, and technical risk management.
• Expertise in FMEA/FMECA, Root Cause Analysis, and other risk and failure analysis techniques.
• Familiarity with Weibull distributions, Weibayes methods, shape parameters, and probabilistic reliability models.
• Understanding of S–N (Wöhler) curves, lifetime calculations, and reliability demonstrations.
• Knowledge of failure mechanisms affecting mechanical, electrical, and electronic components.
• Experience evaluating corrosion, material fatigue, and aging processes.
• Ideally, experience with Monte Carlo simulations and the development and refinement of reliability models.
• Proficient user of Python, MATLAB, or Excel/VBA.
• Excellent command of German and English, both spoken and written.
• Strong analytical skills, a structured approach to work, and exceptional communication and teamwork abilities.
• Flexible working hours.
• Option for mobile working (remote work).
• Access to EGYM Wellpass.
• Company bike leasing available.
• Mobility discounts offered.
• Permanent employment contract.
• Corporate benefits package.
• Team-building events.
• Opportunities for talent management and career development.
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