Performs structural analysis and testing for advanced UAV airframes and components. Builds finite element models, conducts static, modal, fatigue, vibration, and shock analyses, validates results through hand calculations, and analyzes telemetry and test data. Collaborates with engineering teams to optimize lightweight composite and metallic structures for strength, weight, safety, and manufacturability. Documents technical findings and supports structural test planning, certification, and continuous improvement of analysis methods.
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, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. 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 www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube.
Shield AI is seeking a Sr. Structural Analyst to support the analysis and testing of advanced UAVs. In this role, you will work closely with Mechanical Systems, Propulsion, Mechanisms, and other engineering disciplines to ensure the structural integrity of our lightweight, high-performance aircraft. You will contribute to the design, analysis, testing, and optimization of airframe structures and components, ensuring they meet performance, weight, and safety requirements.
This role is ideal for engineers with 5+ years of experience looking to gain expertise in finite element analysis (FEA), composite and metallic materials, and mechanical testing in a fast-paced, high-tech aerospace environment.
What you'll do:
- Assist in building and refining finite element models (FEM) to evaluate the structural performance of UAV components.
- Perform static, modal, fatigue, and vibration analyses to assess stress, deformation, and durability.
- Conduct hand calculations to validate FEA results, ensuring accuracy and structural reliability.
- Work with design engineers to optimize airframe structures, balancing weight, strength, and manufacturability.
- Support the development of test plans for structural validation, including quasi-static, vibration, and shock testing.
- Analyze flight telemetry and structural test data to improve modeling accuracy and correlate predictions with real-world performance.
- Assist in defining load cases, material properties, and design margins for UAV airframe and mechanical components.
- Document and present structural analysis reports and technical recommendations to engineering teams.
- Collaborate with cross-functional teams to ensure structural requirements align with system performance goals.
- Contribute to the continuous improvement of structural analysis methodologies, tools, and best practices.
Required qualifications:
- 5+ years of experience in structural analysis, finite element modeling, or aircraft loads analysis AND B.S. in Mechanical Engineering, Aerospace Engineering, or related field. Alternatively, 3+ years of experience AND a M.S. in Mechanical or Aerospace Engineering
- Experience with FEA tools (FEMAP, NASTRAN, HyperWorks, ANSYS, Patran, or similar).
- Ability to perform hand calculations for structural strength and stability analysis.
- Knowledge of composite materials and lightweight aerospace structures.
- Familiarity with mechanical testing methods (static, vibration, and/or fatigue).
- Proficiency with data analysis tools (Excel, MATLAB, Python, or similar).
- Strong problem-solving skills, attention to detail, and ability to work in a team environment.
- Ability to obtain a S//SAR level security clearance desired.
Preferred qualifications:
- Experience in aircraft structural design, UAV airframe development, or aerospace testing.
- Hands-on experience with structural testing.
- Exposure to CAD software (NX, Catia, SolidWorks) and PLM tools (Teamcenter or similar).
- Understanding of aerospace industry standards, structural certification processes, and material selection.
- Fatigue and damage tolerance (DaDT) experience including crack initiation and crack growth
#LI-MS1
#LC
Full-time regular employee offer package:
Pay within range listed + Bonus + Benefits + Equity
Temporary employee offer package:
Pay within range listed above + temporary benefits package (applicable after 60 days of employment)
Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.
###
Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know.
Similar Jobs at Shield AI
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software
Develop and maintain operational safety policies, risk assessments, safety cases, readiness documentation, and emergency response programs for autonomous aircraft operations. Support airworthiness, flight test, fielding, audits, investigations, corrective actions, safety metrics, and government engagements. The role works across engineering and operational teams, including flightline and test-site activities, and may require travel and non-standard hours.
Top Skills:
Autonomous AircraftDcma 8210.1Faa Safety FrameworksIcao Safety FrameworksMil-Std-882Safety Management SystemsUas
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software
Lead logistics and sustainment planning for autonomous aircraft programs across design, production, deployment, and field support. Manage maintenance task analysis, logistics control numbers, reliability and maintainability activities, supply support, spares planning, provisioning, repair coordination, and lifecycle sustainment documentation. Partner with engineering, manufacturing, supply chain, field operations, suppliers, and customers to improve readiness, ensure compliance, and support proposals and cost estimates.
Top Skills:
ArenaCasaCompassCostpointEagleErpFmecaGeia-Std-0007Level Of Repair AnalysisLogistics Control NumbersMaintenance Task AnalysisMil-Hdbk-502AMil-Std-1388MrpOpus10OraclePlmPowerlog-JReliability And Maintainability AnalysisSae Ta-Std-0017SAPSlicwaveTeamcenterUasWindchill
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software
Oversee V-BAT production training, technician qualification, lean manufacturing initiatives, continuous improvement, and production analytics. Develop training programs, skills matrices, dashboards, and performance metrics while analyzing production capacity, quality, throughput, downtime, labor efficiency, and workforce readiness. Lead root-cause analysis, manufacturing council activities, and closed-loop improvements supporting safety, quality, delivery, cost efficiency, and production scalability.
Top Skills:
5SCognosLean ManufacturingMicrosoft AccessPalantirPower BIRoot-Cause AnalysisTableauVisual Management
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
