Staff Reliability Engineer

Bloom Energy; Karnataka; On-site; INR 1,400,000 - 2,100,000; Full time

Job summary

Bloom Energy in India seeks a Staff Reliability Engineer to lead system-level reliability and availability modeling for SOFC distributed power systems. You will build RBD and Markov models, and run Monte Carlo simulations to translate field data into actionable insights for uptime and design decisions.

You will mentor engineers and collaborate across time zones with the US, establishing modeling standards and validating models with ReliaSoft BlockSim, Python, and MATLAB.

Qualifications

• Bachelor’s or Master’s degree in a related engineering field.
• 4–6 years of reliability engineering experience with system-level modeling.
• Proficiency in RBD and ReliaSoft BlockSim.
• Experience with Markov/state-transition and Monte Carlo analyses.

Responsibilities

• Own and maintain system-level reliability/availability models for SOFC products and service architectures.
• Develop and validate RBD models using ReliaSoft BlockSim and establish modeling standards.
• Build Markov/state-transition models and run Monte Carlo simulations to quantify availability and MTTR/MTBF.
• Lead data-to-model parameterization from field, test, and supplier inputs and calibrate to fleet performance.
• Deliver trade studies and recommendations; communicate results to cross-functional stakeholders.

Skills

Reliability modeling

RBD

ReliaSoft BlockSim

Markov modelling

Monte Carlo

Statistics

Python

MATLAB

Weibull analysis

Crow-AMSAA

Communication

Mentoring

Cross-functional collab

Education

Bachelor’s or Master’s degree in Reliability, Mechanical, Electrical, Systems, or Industrial Engineering

Tools

ReliaSoft BlockSim

Python

MATLAB

Job description

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.

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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.

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Required Qualifications

• Bachelor’s or Master’s 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.

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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).