Staff Loads Engineer (R3263) jobs in United States
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Shield AI · 8 hours ago

Staff Loads Engineer (R3263)

Shield AI is a venture-backed deep-tech company focused on protecting service members and civilians with intelligent systems. As a Staff Loads Engineer, you will lead the generation and analysis of structural and aerodynamic load cases for next-gen air vehicles, ensuring accurate load paths and collaborating with various engineering teams.

Artificial Intelligence (AI)Autonomous VehiclesDronesMachine LearningNational Security
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H1B Sponsor Likelynote

Responsibilities

Own the development of aerodynamic and structural load envelopes for the full vehicle, from clean-sheet through flight test
Lead maneuver, gust, landing, and ground loads analyses, including both quasi-static and dynamic cases
Coordinate closely with GNC, aero, and structural teams to define load cases tied to mission profiles and flight control behaviors
Develop and validate loads models using tools like NASTRAN, FEMAP, MATLAB, or custom Python/Simulink scripts
Support the sizing and analysis of critical structural components through detailed load maps and V-n diagrams
Conduct aeroelastic stability assessments, including divergence and control reversal checks
Lead traceability of loads inputs/outputs across ICDs, FEA models, and design justification documents
Interface with test engineering to support strain gauge placement, instrumentation plans, and correlation of in-flight data
Author and present loads documentation for reviews, compliance, and technical buy-in
Support the long-term refinement of loads methodologies and automation across the aerostructures team

Qualification

Aeroelastic analysisLoads modeling toolsAircraft flight envelopesUAV experienceMIL-A-8860 familiarityDocumentationCross-functional collaborationCommunication skills

Required

Bachelor's or Master's degree in Aerospace Engineering, Mechanical Engineering, or related field
8+ years experience performing loads and aeroelastic analysis for aircraft (manned or unmanned)
Proficiency with loads modeling tools such as FEMAP, NASTRAN, MATLAB, or other relevant simulation environments
Strong understanding of aircraft flight envelopes, control surface effects, and structural load paths
Demonstrated experience supporting both design and test phases with accurate load predictions
Excellent documentation, cross-functional collaboration, and communication skills

Preferred

Experience on UAV, eVTOL, or tactical military platforms
Familiarity with MIL-A-8860, FAR Part 23/25 loads regulations, or similar certification standards
Knowledge of aeroelastic stability, load alleviation, and adaptive control
Experience developing internal tools or automation for loads generation and reporting
Active or previous DoD clearance (not required)

Benefits

Bonus
Benefits
Equity
Temporary benefits package (applicable after 60 days of employment)

Company

Shield AI

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Shield AI is a deep-tech company that focuses on developing AI-powered systems to enhance the safety of service members and civilians.

H1B Sponsorship

Shield AI has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (3)
2024 (3)
2021 (1)

Funding

Current Stage
Late Stage
Total Funding
$1.31B
Key Investors
Hercules CapitalUS Innovative Technology FundSnowpoint Ventures
2025-03-06Series F· $240M
2023-12-29Debt Financing· $200M
2023-10-31Series F· $300M

Leadership Team

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Gary Steele
Chief Executive Officer
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Brandon Tseng
Co-Founder
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Company data provided by crunchbase