• Set and communicate reliability requirements and targets for site, product, subsystem, and components
• Create Fault Trees and reliability block diagrams to assess system reliability and warranty analysis
• Facilitate Design FMEA sessions to drive reliable design choices and improve validation test programs
• 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
• Specify reliability validation plans for components and subsystems using physics of failure
• 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
• Research failure mechanisms to build more robust validation plans and influence design choices
• Influence supplier selection for higher reliability and provide clear guidance on reliability requirements and demonstration to suppliers
• 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

• 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.)
• Working knowledge of failure analysis techniques such as optical microscopy, SEM, CSAM, X-ray, cross-sectioning and EDX.
• Knowledge of the ReliaSoft Synthesis Platform, including Weibull , BlockSim, ALTA, RGA, and xFMEA
• Knowledge of methods to design-in reliability for electronics, including electronic computer-aided design and mechanical computer-aided engineering (CAE) data into 3D finite element models (e.g. using Sherlock)
• Working knowledge of programming languages, preferably Python
• Strong communication skills and experience leading cross functional teams
• Knowledge of reliability growth techniques, such as Crow-AMSAA and Crow Extended is a plus
• Knowledge of reliability warranty analysis and reliability prediction methods.
• Experience working with complex thermal systems.
• Minimum of a Bachelor of Science in Mechanical Engineering or related field and one or more years of industry experience in a reliability engineering role, Master's degree in Reliability Engineering preferred.

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