Repair / Aero Engineer

Description

• Establish and maintain inspection criteria for advanced gas turbine components.
• Engage in Kaizen initiatives to enhance efficiency and assist in maintaining and updating our engineering processes.
• Collaborate with cross-functional teams including Engineering, Supply Chain, and Advanced Manufacturing and Repair Technology.
• Support development of industrial robot applications and provide technical support for robotic systems.
• Help maintain and manage repair qualifications for service centers, ensuring compliance and quality control.
• Determine tolerancing for the repair of gas turbine components utilizing empirical data analytics
• Support senior engineers in identifying opportunities for reverse engineering projects and analyze and resolve Repair Non-Conformance Notifications (NCNs).
• Travel (5-10%) to global engineering centers, service centers and vendor locations.
• Expect occasional travel (5-10%) to global engineering centers and service centers.
• Experiment and develop automation, coatings, machining, joining, tooling/fixture design and inspection technologies.
• Assist in the qualification and deployment of advanced repair and inspection technologies.
• Participate in Root Cause Analysis (RCA) investigations to address quality and process issues.

Requirements

• Experience in NX or other 3D CAD models and/or design simulation packages with the ability to read mechanical/electrical drawings.
• Demonstrated capability in collaborating within a team and customers to create an inclusive environment.
• Capable of breaking down complex problems and executing to solution.
• Strong organizational skills, communicating with transparency to deliver project milestones.
• Minimum of 1-3 years of relevant experience in gas turbine design, repair, manufacturing, or services.
• Experience developing automated solutions using, sensors, servo systems, vision (ie. open-cv), and motion control systems. Any programming/coding experience with industrial robot brands (FANUC, ABB, KUKA, MOTOMAN, etc.) PLC controls, m-code, g-code, .cli would be a plus.
• Bachelor's or Master's degree in Engineering (Mechanical, Materials, Electrical, Computer Science, or related field) from an accredited university.
• Ability to rapidly shift priorities based on business needs.
• 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.
• Experience performing hands on process development with any of the following - additive technologies, fixture development, machining including mills and EDMs, laser applications like cladding and ablation, joining/brazing, metallic and ceramic coating and inspection technologies.
• Familiar with AI and possess a continuous improvement (Lean) mindset.
• Open-minded, self-motivated, and empowered to challenge thinking to dream big and take smart risks.

Benefits

Training + Development

Interview process

Visa Sponsorship

Security clearance