Lead CMC Mechanical Analysis Engineer — Remote

GE Aerospace; Salt Lake City (UT); Remote; USD 95,000 - 159,000; Full time

Job summary

GE Aerospace is seeking a Lead Engineer to analyze Ceramic Matrix Composite (CMC) components in the GE9X engine, focusing on hot section hardware and interfacing metallic parts. The role includes performing stress and life analyses using FEA and proprietary tools, with collaboration across hardware owners and design teams.

Located primarily in Evendale, OH, the position offers mentoring, project leadership, and opportunities to apply AI-enabled analysis tools.

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.
• Applies general knowledge of mechanical engineering and mechanical analysis concepts through education or past experiences.
• Collaborates with cross-functional team and presents outcomes to technical and business leaders.
• Documents assessment assumptions, boundary conditions, and results, and shares conclusions with adjacent teams.

Skills

Leadership

Project management

Problem solving

Communication

Education

Bachelor’s degree in engineering

Tools

ANSYS

HyperMesh

NX

CMC tools

Job description

GE Aerospace is seeking a Lead Engineer to analyze Ceramic Matrix Composite (CMC) components in the GE9X engine, focusing on hot section hardware and interfacing metallic parts. The role includes performing stress and life analyses using FEA and proprietary tools, with collaboration across hardware owners and design teams.

Located primarily in Evendale, OH, the position offers mentoring, project leadership, and opportunities to apply AI-enabled analysis tools.