Availability & Reliability Engineer
Greenville, NC - USA
Job Summary
Job Description Summary
The Availability & Reliability Engineer is a specialized role within the Wind Engineering division. You will serve as the primary architect of fleet performance data modeling using advanced statistical and predictive analytics to drive the global energy transition. Your mission is to transform raw fleet data into actionable reliability models and high-fidelity availability forecasts that inform design decisions service contracts and customer expectations.Job Description
Roles and Responsibilities
Downtime Diagnostics:Ingest and analyze massive datasets from the global wind fleet to identify the primary drivers of turbine unavailability.
Root Cause Quantification:Quantify the impact of specific failure modes on overall fleet uptime distinguishing between technical failures (Reliability) and service delays (Maintainability).
Predictive Inventory Forecasting:Create data-driven projections for spare part demand to enable immediate return-to-service for down turbines without maintaining excessive or redundant inventory levels.
Probabilistic Modeling:Develop and maintain component-level reliability models to predict the life cycle of critical turbine systems.
Design Verification:Collaborate with design engineers to set reliability targets for new products and verify that replacement parts meet or exceed the reliability of failed components.
Predictive Diagnostics:Assist in building advanced analytics aimed at early detection of degradation shifting the fleet from reactive repairs to proactive planned interventions.
Strategic Projections:Build and refine statistical forecasts for fleet-wide availability to support long-term service agreements (LTSA) and financial risk management.
Scenario Simulation:Model the impact of proposed fleet retrofits and corrective actions to forecast the expected lift in availability before capital is deployed.
Growth Forecasting:Develop reliability expectations for next-generation turbine designs ensuring that as-shipped products meet rigorous customer production guarantees.
Required Qualifications
Bachelors degree in Mechanical Engineering Electrical Engineering or a related computational field (e.g. Systems Engineering or Data Science with an engineering focus).
Strong foundation in probability and statistics.
Desired Characteristics
Experience inPython JMP/JSL R or SQLfor engineering applications and data automation is highly preferred.
Proven experience in reliability modeling life-cycle analysis or predictive performance forecasting for heavy-duty industrial assets.
Ability to summarize complex technical data into clear actionable conclusions for stakeholders across a global organization.
At least 6 months of experience (including internships) in industrial products preferably in wind energy or power generation.
GE Vernova offers a great work environment professional development challenging careers and competitive compensation. GE Vernova is anEqual Opportunity Employer. Employment decisions are made without regard to race color religion national or ethnic origin sex sexual orientation gender identity or expression age disability protected veteran status or other characteristics protected by law.
GE Vernova will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable).
Relocation Assistance Provided: Yes
Required Experience:
IC
About Company
GE Vernova's Asset Performance Management software can help you increase asset reliability, minimize costs and reduce operational risks. View a demo today.