Availability & Reliability Engineer

GE-Vernova-; Greenville (SC); On-site; USD 72,000 - 108,000; Full time

Benefits offered by this job

Medical coverage

Health Coach

Retirement plan with company match

Tuition assistance

Paid parental leave

Life insurance

12 paid holidays

Disability benefits

Job summary

GE Vernova in Greenville, South Carolina seeks an Availability & Reliability Engineer to architect fleet performance data modeling and deliver high-fidelity availability forecasts that drive design decisions and service levels.

You will ingest large wind fleet datasets, quantify failure modes, forecast spare part demand, and collaborate with design engineers to set reliability targets for next-generation turbines, enabling proactive maintenance and reduced downtime.

Qualifications

• Bachelor’s degree in Mechanical or Electrical Engineering or related computational field.
• Strong foundation in probability and statistics.
• Experience in reliability modeling, life-cycle analysis, or predictive performance forecasting for heavy industrial assets.
• Ability to summarize complex technical data into clear, actionable conclusions for stakeholders across a global organization.

Responsibilities

• Availability Analytics: Ingest and analyze large datasets to identify drivers of turbine unavailability.
• Downtime Diagnostics: Quantify impact of failure modes on fleet uptime (Reliability vs Maintainability).
• Predictive Inventory Forecasting: Forecast spare part demand to return turbines to service efficiently.
• Reliability Modeling: Develop component-level models to predict life cycles of critical systems.
• Design Verification: Collaborate with engineers to set reliability targets for new products.
• Predictive Diagnostics: Build analytics for early degradation detection to shift from reactive to proactive interventions.
• Fleet Performance Forecasting: Create forecasts for fleet-wide availability to support LTSA and risk management.
• Scenario Simulation: Model effects of retrofits and actions to estimate lift in availability before capital spend.
• Growth Forecasting: Define reliability expectations for next-gen turbine designs.

Skills

Python

JMP/JSL

R

SQL

Probability & Statistics

Education

Bachelor's degree in Mechanical Engineering, Electrical Engineering, or related computational field

Strong foundation in probability and statistics

Job description

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

• 1. Availability Analytics

• 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.

• 2. Reliability Modeling

• 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.

• 3. Fleet Performance Forecasting

• 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

• Bachelor’s 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 in Python, JMP/JSL, R, or SQL for 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 an Equal 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

For candidates applying to a U.S. based position, the pay range for this position is between $72,000.00 and $108,000.00. The Company pays a geographic differential of 110%, 120% or 130% of salary in certain areas. The specific pay offered may be influenced by a variety of factors, including the candidate’s experience, education, and skill set.Bonus eligibility: discretionary annual bonus.This posting is expected to remain open for at least seven days after it was posted on September 17, 2026.

• medical, dental, vision, and prescription drug coverage;
• access to Health Coach from GE Vernova, a 24/7 nurse-based resource;
• access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services;
• Retirement benefits include the GE Vernova Retirement Savings Plan, a tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions, as well as access to Fidelity resources and financial planning consultants;
• Other benefits include tuition assistance, adoption assistance, paid parental leave, disability benefits, life insurance, 12 paid holidays, and permissive time off.

GE Vernova Inc. or its affiliates (collectively or individually, “GE Vernova”) sponsor certain employee benefit plans or programs GE Vernova reserves the right to terminate, amend, suspend, replace, or modify its benefit plans and programs at any time and for any reason, in its sole discretion. No individual has a vested right to any benefit under a GE Vernova welfare benefit plan or program. This document does not create a contract of employment with any individual.