Engineering Manager, Structural Design
$150k - $220kShield AI
Founded in 2015, Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software and V-BAT and X-BAT aircraft. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI's technology actively supports operations worldwide. For more information, visit Follow Shield AI on LinkedIn, X, Instagram, and YouTube.
Job Description:
You'll work cross-functionally to ensure structural integrity, manufacturability, and system integration across one of the most advanced autonomous aircraft platforms being built today. This role is ideal for an aerospace engineer with significant hands-on design experience with both composite or metallic airframes as well as demonstrated team lead experience. Required qualifications:
- Bachelor's or Master's degree in Mechanical Engineering, Aerospace Engineering, or related discipline.
- 8+ years of experience in aircraft structural design or closely related aerospace structures.
- Experience with team leadership as a project or IPT style team lead
- Experience designing and releasing structural components in development or production environments.
- Working knowledge of composite and metallic structures, including fasteners, bonded joints, and load paths.
- Proficiency in CAD tools (NX, CATIA, SolidWorks, or similar).
- Understanding of GD&T, tolerance stackups, and DFMA principles.
- Strong written and verbal technical communication skills.
- Demonstrated ability to operate in fast-paced, high-ownership engineering environments.
- Ability to get a S//SAR level security clearance desired.
- M.S. degree in Aerospace or Mechanical Engineering.
- Experience supporting UAV, DoD, or aerospace full vehicle programs.
- Familiarity with aerospace standards (MIL-STD, ASME Y14.5, FAA).
- Experience fabricating and testing large scale aerospace structures such as wings, fuselages or similar.
- Demonstrated understanding of composite manufacturing methods.
- Experience using FEA tools (ANSYS, Abaqus, NASTRAN, or similar) for linear structural analysis.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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