Staff Engineer Aerostructures Loads
Shield AI is a U.S. defense-technology company developing mission-autonomy software and autonomous aircraft for military and allied operations.
Funding history
Investors
About Shield AI
Founded in 2015, Shield AI builds Hivemind autonomy software and V-BAT and X-BAT aircraft for operations in contested, GPS- and communications-denied environments. Its current site also presents Aechelon synthetic-reality simulation and Vision Systems detection and tracking products.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will develop vehicle and component loads analyses that inform structural design and verification. You will build loads models, define critical conditions, document results, collaborate across engineering disciplines, and support ground and flight testing to validate and refine predictions.
Requirements
- Bachelor’s or Master’s degree in Aerospace Engineering, Mechanical Engineering, or a related technical discipline.
- 8 or more years of complex vehicle loads-analysis experience.
- Vehicle structural static, dynamic, maneuver, gust, landing, ground, handling, transport, or test loads-analysis experience.
- Knowledge of structural mechanics, aircraft dynamics, aerodynamics, inertia relief, load paths, free-body diagrams, structural sizing inputs, and finite-element model interface loads.
- Proficiency with MATLAB, Python, Nastran, Patran, FEMAP, HyperMesh, or comparable analysis tools.
Responsibilities
- Develop air-vehicle and component-level loads analyses for structures.
- Create and maintain loads models, free-body diagrams, load paths, load cases, design envelopes, and critical conditions.
- Define external, inertial, aerodynamic, actuator, interface, and operating loads with partner disciplines.
- Deliver design load reports, interface control loads, assumptions, margins, and recommendations.
- Support test planning, instrumentation, correlation, structural test execution, and post-test data analysis.
Benefits
- Bonus
- Benefits
- Equity