Repair Lifecycle Engineering - Engineer
On-siteGreenville, North Carolina, United States
Job Summary
Analyze and resolve Repair Non-Conformance Notifications (NCNs) in a timely, high-quality manner while managing repair qualifications for service centers to ensure compliance. Lead AMRT engineering support for service center 'Built in Quality' initiatives and recommend repair engineering instruction improvements for gas turbine components. Participate in Root Cause Analysis investigations, engage in Kaizen initiatives to enhance efficiency, and collaborate with cross-functional teams including Engineering, Supply Chain, and Advanced Manufacturing. Occasional travel under 5% to global engineering centers and service centers is required. This role supports GE Vernova's mission to decarbonize the energy future through rigorous process development and industrialization of inspection and repair processes.
Required Qualifications
- Bachelor's degree in Engineering (Mechanical, Materials, Electrical, Computer Science, or related field) from an accredited university
- Min. 6 mos. experience or relevant project-based learning in component design, repair, manufacturing, or services
- Safety & Quality Mindset: Strong foundational focus on safety, quality, execution, and process rigor
- Able to travel (5%) to global engineering centers, service centers and vendor locations
Desired Qualifications
- Academic or Internship Background: Coursework or internships supporting gas turbine design, repair, manufacturing, or services
- Academic or hands-on experience in process development areas such as additive technologies, fixture development, machining (mills/EDMs), laser applications (cladding/ablation), joining/brazing, coating, or inspection technologies
- Ability to read mechanical/electrical drawings
- Open-minded, self-motivated, and empowered to challenge thinking to dream big and take smart risks
- Demonstrated capability in collaborating within a team and customers to create an inclusive environment
- Familiar with AI and possess a continuous improvement (Lean) mindset
- Familiarity with using data analytics including, python, p-code and other computer and classical machine learning programming
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