Bachelor's Degree in Mechanical Engineering or a related field and five 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
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