Senior Blade Structure Engineer

Responsibilities

• Lead development of composite design technologies and methodologies that advance blade structural performance, durability, and manufacturability, from concept through validation and production integration.
• Develop and apply multi-fidelity engineering tools and models to evaluate, optimize, and improve blade structural designs at both component and product level.
• Characterize and apply composite material behavior, including damage progression, fatigue response, and failure mechanisms, to drive design improvements informed by physical evidence.
• Identify product-level structural challenges and lead engineering solutions that address root causes, not just symptoms, spanning laminate design, joint architecture, sandwich construction, and manufacturing methods.
• Collaborate with aerodynamics, loads, controls, and manufacturing disciplines to ensure structural designs are integrated, producible, and field proven.

Qualifications

• MS or PhD in Aerospace, Mechanical, Civil Engineering, or a closely related discipline.
• 5+ years of professional engineering experience in wind energy, aerospace, or a closely related structural composites industry.
• Deep knowledge of composite design, damage mechanics, and manufacturing methods, including sandwich composite structures, adhesive joints, and bolted connections.
• Expertise in FEA/FEM modeling and analysis experience (ANSYS, ABAQUS, or similar) in shells and solids covering composites to tooling interfaces and damage modeling.
• Demonstrated track record of leading root cause analysis for complex composite structural failures and driving corrective and preventive solutions through implementation.
• Proven ability to work effectively across organizational boundaries (production, operations, and engineering) without direct authority.

Required Skills

• Hands-on experience leading or strongly supporting blade manufacturing, prototyping, or serial production on a specific project.
• Background in novel concept development: ideation, engineering, prototyping, testing, and production integration.
• Experience developing or applying data-driven / AI tools in a structural engineering context (e.g., defect classification, anomaly detection, fatigue life prediction).
• Proficiency in Python, MATLAB, or similar scripting, data processing, automation of analyses.
• Background in novel composite repair methodology development, including validation testing and production integration.