Hybrid Aeromechanics Design Engineer (Turbomachinery)

BR2752 GE Marmara Technology Center Muhendislik Hizmetleri Limited Sirketi Kartal Subesi; Fatih; Hybrid; TRY 600,000 - 900,000; Full time

Benefits offered by this job

Hybrid working opportunity

Flexible benefit plan

Enhanced paternity leave

Health insurance including spouse and/

Fitness Benefit

Life Assurance

Employee Referral Program

Employee Assistance Program

Job summary

GE Aerospace Turkey seeks a mechanically strong, analytically minded engineer focused on airfoil design, turbomachinery components, and structural analysis. The role involves applying auto- mated and AI-supported workflows to improve design trade-offs in a multidisciplinary setting.

The ideal candidate will contribute to vibration and fatigue analysis, leverage AI for problem solving, and collaborate across laboratories while growing within a hybrid work environment that supports innovative

Qualifications

• Advanced experience in Engineering/Technology & Mechanical Engineering.
• Bachelor's degree or equivalent experience.
• 2+ years in turbomachinery component design.
• Experience with FEA (static structural and modal analysis).
• Strong background in vibration, materials fatigue, fluid dynamics, and aeroelasticity.

Responsibilities

• Design, analyze, manufacture and maintain mechanical systems for airfoils and turbomachinery components.
• Perform static and dynamic analyses, interpret results and guide design decisions.
• Collaborate with aeromechanics and compression system teams; apply AI-supported tools to improve workflows.

Skills

Airfoil mechanical design

FEA analysis

Modal analysis

Vibration analysis

Aeroelasticity

AI design optimization

Education

Bachelor's degree in Engineering

High school diploma with relevant experience

Tools

FEA software

CAD

AI tools

Job description

GE Aerospace Turkey seeks a mechanically strong, analytically minded engineer focused on airfoil design, turbomachinery components, and structural analysis. The role involves applying auto- mated and AI-supported workflows to improve design trade-offs in a multidisciplinary setting.

The ideal candidate will contribute to vibration and fatigue analysis, leverage AI for problem solving, and collaborate across laboratories while growing within a hybrid work environment that supports innovative