Senior CMC Mechanical Analysis Lead Engineer (Remote)

GE Aerospace; United States; Remote; USD 95,000 - 159,000; Full time

Benefits offered by this job

Relocation assistance Provided

Job summary

GE Aerospace is seeking a Lead Engineer to drive mechanical analysis of CMC hot section hardware for GE9X and related programs. The role involves performing stress and life analyses using FEA tools, coordinating with hardware owners, and supporting manufacturing and field feedback.

The candidate will mentor junior members, develop analysis macros, and help integrate AI-enabled tools to accelerate modeling and post-processing. Evendale, OH is preferred but remote options exist.

Qualifications

• Bachelor’s Degree from an accredited college or university (or a high school diploma/GED with a minimum of 4 years design engineering experience)
• Minimum of 3 years experience in Ceramic Matrix Composites or Manufacturing related role

Responsibilities

• Execute the analysis and evaluation of assigned projects using sound engineering principles and adhering to standard practices, procedures, and product / program requirements.
• Develop conceptual knowledge of turbofan hot section design and composite analysis; may include support roles with specialized expertise.
• Applies general knowledge of mechanical engineering and analysis concepts; understands how work contributes to objectives.
• Resolves issues using established procedures and consults mentors for complex issues.
• Collaborates with cross-functional teams and presents outcomes to technical and business leaders.

Skills

FEA Analysis

Team Collaboration

Mechanical Analysis

Education

Bachelor’s Degree in Mechanical Engineering

High School Diploma with 4 years design engineering experience

Tools

Ansys

HyperMesh

NX

Job description

GE Aerospace is seeking a Lead Engineer to drive mechanical analysis of CMC hot section hardware for GE9X and related programs. The role involves performing stress and life analyses using FEA tools, coordinating with hardware owners, and supporting manufacturing and field feedback.

The candidate will mentor junior members, develop analysis macros, and help integrate AI-enabled tools to accelerate modeling and post-processing. Evendale, OH is preferred but remote options exist.