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About the Role We are seeking a Staff Reliability Engineer to lead system-level reliability and availability modeling for Bloom Energys solid oxide fuel cell (SOFC) distributed power generation systems. This role focuses on building reliability block diagram (RBD) models, Markov/state-transition models, and Monte Carlo simulations to translate field and test data into actionable insights that improve uptime, service strategy, and product design decisions. ________________________________________ Key Responsibilities Own and maintain system-level reliability/availability models for SOFC products, subsystems, and service architectures (redundancy, bypass, standby system, maintenance strategies, operating profiles). Develop and validate RBD models using ReliaSoft BlockSim; establish modeling standards, libraries, and peer-review practices. Build Markov/state-transition models and run Monte Carlo simulations to quantify availability, MTBF/MTTR, and uncertainty/sensitivity. Lead data-to-model parameterization from field, test, and supplier inputs (failure/repair distributions, censoring, restoration factors, common-cause assumptions) and calibrate to fleet performance. Deliver trade studies and recommendations to influence design and service decisions; communicate results clearly to cross-functional stakeholders. Mentor engineers/analysts on reliability modeling methods and support global execution across India and the U.S. ________________________________________ Required Qualifications Bachelors or Masters degree in Reliability, Mechanical, Electrical, Systems, Industrial Engineering (or related). 4-6 years of experience in reliability engineering, including ownership of system-level reliability/availability modeling for complex, repairable systems. Proficiency in RBD and availability modeling, including hands-on expertise with ReliaSoft BlockSim. Strong experience with Markov/state-transition modeling and Monte Carlo analysis. Strong statistical foundation for reliability data interpretation (failure/repair distributions, censored data, uncertainty communication). Strong interpersonal and communication skills to collaborate with product engineering, service, operations, and reliability stakeholders across time zones. ________________________________________ Preferred Skills Experience with fuel cells, power generation, or high-temperature electro-thermal systems. Experience using FRACAS/warranty/field data to calibrate models and validate projections against fleet performance. Reliability data analysis experience (e.g., Weibull, Crow-AMSAA) and ability to automate analysis using Python/MATLAB (version control preferred). About the Role We are seeking a Staff Reliability Engineer to lead system-level reliability and availability modeling for Bloom Energys solid oxide fuel cell (SOFC) distributed power generation systems. This role focuses on building reliability block diagram (RBD) models, Markov/state-transition models, and Monte Carlo simulations to translate field and test data into actionable insights that improve uptime, service strategy, and product design decisions. ________________________________________ Key Responsibilities Own and maintain system-level reliability/availability models for SOFC products, subsystems, and service architectures (redundancy, bypass, standby system, maintenance strategies, operating profiles). Develop and validate RBD models using ReliaSoft BlockSim; establish modeling standards, libraries, and peer-review practices. Build Markov/state-transition models and run Monte Carlo simulations to quantify availability, MTBF/MTTR, and uncertainty/sensitivity. Lead data-to-model parameterization from field, test, and supplier inputs (failure/repair distributions, censoring, restoration factors, common-cause assumptions) and calibrate to fleet performance. Deliver trade studies and recommendations to influence design and service decisions; communicate results clearly to cross-functional stakeholders. Mentor engineers/analysts on reliability modeling methods and support global execution across India and the U.S. ________________________________________ Required Qualifications Bachelors or Masters degree in Reliability, Mechanical, Electrical, Systems, Industrial Engineering (or related). 4-6 years of experience in reliability engineering, including ownership of system-level reliability/availability modeling for complex, repairable systems. Proficiency in RBD and availability modeling, including hands-on expertise with ReliaSoft BlockSim. Strong experience with Markov/state-transition modeling and Monte Carlo analysis. Strong statistical foundation for reliability data interpretation (failure/repair distributions, censored data, uncertainty communication). Strong interpersonal and communication skills to collaborate with product engineering, service, operations, and reliability stakeholders across time zones. ________________________________________ Preferred Skills Ex
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