Lead Reliability & Availability Engineer

GE Vernova•Greenville, SC
•$89,300 - $148,700

About The Position

The Availability & Reliability Engineer is a specialized, hardware-focused engineering role within the Wind Engineering division. The engineer uses data to inform the physical design and maintenance of wind turbines, applying mechanical and systems engineering principles to fleet datasets to develop turbine reliability models and availability forecasts. The work supports durable hardware design, service-contract optimization, and customer performance expectations. The role analyzes turbine performance data to identify physical causes of unavailability, develops component-level reliability models, and partners with Design Engineering to establish and verify reliability targets. It also owns the data pipeline used for statistical analysis, supports spare-part inventory planning, forecasts fleet-wide availability for Long-Term Service Agreements and financial risk management, and models the expected impact of proposed fleet retrofits or design changes. GE Vernova offers professional development, challenging careers, competitive compensation, and a range of benefits. Relocation assistance is provided. U.S.-based candidates must be legally authorized to work in the United States, and an offer is conditional on successful completion of a drug screen, as applicable. The posting is expected to remain open for at least seven days after its posting date of October 12, 2026.

Requirements

  • Bachelor’s degree in Mechanical Engineering, Electrical Engineering, or a closely related engineering field, such as Systems Engineering.
  • At least 3 years of professional or internship experience in an industrial setting, preferably in wind energy, power generation, or heavy-duty machinery.
  • At least 1 year of professional or internship experience applying probability and statistics to physical engineering systems.
  • Ability to apply software such as Python, JMP/JSL, or R, and query languages such as SQL, Databricks, or Redshift, to physical engineering problems.
  • Demonstrated understanding of physical failure modes, asset lifecycle management, and the mechanical nuances of rotating machinery.
  • Ability to communicate complex engineering data and distill findings into clear, actionable conclusions for business stakeholders.
  • Exposure to programmatic tools such as Gantt charts and demonstrated ability to plan and execute work with limited oversight.
  • Must be legally authorized to work in the United States for this opening.
  • Successful completion of a drug screen, as applicable, is a condition of an offer.

Nice To Haves

  • Industrial experience in wind energy, power generation, or heavy-duty machinery.
  • Candidates with a pure Data Science or Statistics degree should have substantial industrial or mechanical engineering experience.
  • Experience with Python, JMP/JSL, R, SQL, Databricks, or Redshift for solving physical engineering problems.
  • Exposure to programmatic tools such as Gantt charts.

Responsibilities

  • Analyze turbine performance data to identify physical drivers of unavailability and distinguish component failures from design architecture and manufacturing differences.
  • Develop component-level probabilistic reliability models for critical turbine systems, such as drivetrains, bearings, and blades.
  • Partner with Design Engineering to set reliability targets for new products and verify that replacement parts meet or exceed original-component performance.
  • Own the data pipeline for statistical analysis, manage data governance, execute data pulls, and ensure high-fidelity reporting for critical asset dashboards.
  • Forecast spare-part demand using data-driven projections, balancing inventory with the need to return turbines to service promptly.
  • Build statistical forecasts for fleet-wide availability to support Long-Term Service Agreements and financial risk management.
  • Model the expected performance improvement of proposed fleet retrofits or design changes before capital is deployed.
  • Self-plan and execute work scope with limited oversight.

Benefits

  • Medical insurance
  • Dental insurance
  • Vision insurance
  • Prescription drug coverage
  • Health Coach from GE Vernova, a 24/7 nurse-based resource
  • Employee Assistance Program with 24/7 confidential assessment, counseling, and referral services
  • GE Vernova Retirement Savings Plan with a 401(k) savings opportunity and company matching contributions
  • Company retirement contributions
  • Access to Fidelity resources and financial planning consultants
  • Tuition assistance
  • Adoption assistance
  • Paid parental leave
  • Disability benefits
  • Life insurance
  • 12 paid holidays
  • Permissive time off
  • Discretionary annual bonus
  • Relocation assistance
  • Professional development
  • Competitive compensation
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