Job Description
Roles and Responsibilities
- Assist in the qualification and deployment of advanced manufacturing and repair technologies.
- Experiment and develop automation/robotics, additive, coatings, machining, joining, tooling/fixture design and/or inspection technologies.
- Determine tolerancing for the repair of gas turbine components utilizing empirical data analytics
- Support more senior engineers in identifying opportunities for reverse engineering projects and analyze and resolve Repair Non-Conformance Notifications (NCNs).
- Help maintain, lead, and manage repair qualifications for service centers, ensuring compliance and quality control.
- Participate in Root Cause Analysis (RCA) investigations to address quality and process issues.
- Engage in Kaizen initiatives to enhance efficiency and assist in maintaining and updating our engineering processes.
- Collaborate with cross-functional teams including Design Engineering, Supply Chain locations, and Advanced Manufacturing and Repair Technology.
- Establish and maintain inspection criteria for advanced gas turbine components.
Required Qualifications
- Bachelor’s or Master's degree in engineering (Mechanical, Mechatronics, Materials, Electrical, Computer Science, or related field) from an accredited college or university
- Minimum of 0-2 years of relevant experience in engineering and/or manufacturing.
- Travel (5-10%) to global engineering centers, service centers and vendor locations.
Eligibility Requirements:
- The required work location is Greenville, SC (relocation assistance is available)
- Unrestricted work authorization to work in the United States of America is required. We will not provide sponsorship for this role now or in the future.
What makes you standout - Desired Characteristics
- Experience performing hands on process development/troubleshooting with any of the following – robotics/automation, additive technologies, fixture development, machining including mills and EDMs, laser applications like cladding and ablation, joining/brazing, metallic and ceramic coating, and inspection technologies.
- Familiarity with using data analytics including, python, p-code and other computer and classical machine learning programming.
- Strong focus on safety, quality, execution, and process rigor.
- Ability to rapidly shift priorities based on business needs.
- 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.
- Strong organizational skills, communicating with transparency to deliver project milestones.
- Capable of breaking down complex problems and executing to solution.