$ cat jobs/senior-embedded-products-and-software-reliability-engineer-ge-vernova-637dd95e4222.json
Senior Embedded Products and Software Reliability Engineer
Job Description Summary We are seeking a highly skilled Senior Embedded Reliability Engineer with a strong background in protection and control systems, energy management devices, and utility-scale software for transmission and distribution (T&D) applications. In this role, you will lead reliability initiatives across the lifecycle of critical grid automation products, including protection relays, control devices, digital substation solutions, and advanced software platforms. You will apply best-in-class reliability engineering methodologies to ensure system resilience, regulatory compliance, and long-term field performance. Your work will directly support utility customers in achieving higher uptime, reduced lifecycle costs, and safer grid operation. Job Description Key Responsibilities Perform reliability modeling and statistical analysis of energy management and protection/control products to predict field performance and act as authority for reliability design decisions. Develop and execute reliability test plans for hardware and software, including hardware-in-the-loop (HIL), environmental, and stress testing for grid components. Conduct and lead FMEA, FMECA, and Root Cause Analysis (RCA) for hardware/software failure events across embedded systems and communication layers. Work with product design, systems engineering, and software teams to ensure Design for Reliability (DfR) is embedded from concept through deployment. Analyze field data from deployed devices (e.g., relays, RTUs, control systems) to identify systemic issues and recommend corrective/preventive actions. Collaborate with utilities and customers to support grid asset performance programs and grid modernization initiatives, including IEC 61850, virtualization, and advanced diagnostics. Develop and maintain reliability KPIs (e.g., MTBF, FIT rate, availability) for product lines and integrate into product development and quality programs. Identify and drive adoption of predictive and condition-based