LH
LLMHire
Browse JobsAgentsNewSalary InsightsCompaniesBlogPricing

Never Miss an AI Job

Get weekly AI job alerts delivered to your inbox.

Join the AI hiring radar. Unsubscribe anytime.

LH
LLMHire

The #1 job board for AI & LLM engineers. Find your next role in the AI revolution.

Jobs

  • Browse Jobs
  • Companies
  • Job Alerts
  • Post a Job
  • Pricing

Resources

  • Blog
  • CyberOS.devScan code for vulnerabilities
  • EndOfCoding.comStay ahead with AI news
  • Vibe Coding AcademyLearn skills employers want
  • Vibe Coding Ebook22 chapters, 200+ prompts
  • Video Tutorials@endofcoding on YouTube

Company

  • About
  • Contact
  • Privacy
  • Terms

Contact

  • hello@llmhire.com
  • Get in Touch

© 2026 LLMHire. All rights reserved.

VeriduxLabsBuilt by VeriduxLabs
Back to all jobs
S

Principal Loads Engineer (R3263)

Shield AI
United StatesRemote$209,197 - $313,7953 days ago
full-timeprincipal

About the Role

Founded in 2015, Shield AI is a venture-backed deep-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include the V-BAT and X-BAT aircraft, Hivemind Enterprise, and the Hivemind Vision product lines. With offices and facilities across the U.S., Europe, the Middle East, and the 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.  Job Description: Shield AI is seeking a Principal Loads Engineer to serve as the technical authority for aircraft loads and aeroelastic analysis across advanced UAV platforms. In this role, you will define and lead the full-vehicle loads strategy—establishing the methodologies, assumptions, and validation approaches that govern structural sizing, aeroelastic stability, airworthiness, and flight performance. You will operate as a subject-matter expert in aerodynamic and structural loads derivation, influencing aircraft architecture and control strategies while ensuring loads traceability from concept through flight test and certification. This role is ideal for engineers with 12–15+ years of experience who have led loads development on complex aerospace programs and are comfortable setting technical direction, mentoring engineers, and partnering closely with program and engineering leadership. #LI-MS2 #LF 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.  What you'll do: Own and define the full-vehicle loads and aeroelastic analysis strategy from clean-sheet development through production and flight test Establish and govern aerodynamic and structural load envelopes, including maneuver, gust, landing, ground, and mission-driven load cases Lead both quasi-static and dynamic loads analyses, including transient and coupled aeroelastic assessments Serve as the technical authority for V-n diagrams, load factors, and structural load path definition across the aircraft Define and review loads modeling approaches using NASTRAN, FEMAP, MATLAB, Simulink, Python, or equivalent environments Drive aeroelastic stability evaluations including divergence, flutter, control reversal, and load alleviation strategies Partner closely with Aero and GNC teams to ensure loads assumptions align with flight control laws, mission profiles, and aircraft performance objectives Establish traceability standards across loads models, ICDs, FEA inputs, and certification artifacts Define and oversee loads correlation strategy, including strain gauge placement, instrumentation planning, and in-flight data reconciliation Review and approve loads deliverables for design reviews, compliance documentation, and executive technical decision forums Mentor and technically guide loads and aeroelastic engineers across the organization Develop and standardize loads methodologies, automation frameworks, and internal tools to scale capability across programs Required qualifications: B.S. or M.S. in Aerospace Engineering, Mechanical Engineering, or related field 12+ years of experience performing aircraft loads and aeroelastic analysis on manned or unmanned platforms Demonstrated technical leadership on complex aerospace programs, including ownership of loads strategy or methodology Deep expertise in aerodynamic loads derivation, flight envelope development, and structural load path definition Advanced proficiency with industry-standard loads and FEA tools (NASTRAN, FEMAP, ANSYS, MATLAB, Python, Simulink, or equivalent) Strong understanding of aeroelastic stability phenomena including flutter, divergence, and control reversal Extensive experience supporting both structural design and flight test with validated load predictions Experience presenting loads rationale and technical tradeoffs to senior engineering leadership Excellent cross-functional collaboration and technical communication skills Preferred qualifications: Master’s or Ph.D. in Aerospace Engineering or related discipline Experience on UAV, eVTOL, or tactical military aircraft programs Familiarity with MIL-A-8860, FAR Part 23/25, or other certification loads standards Experience developing load alleviation strategies or adaptive control-informed loads methodologies Track record of building internal tools, automation pipelines, or standardized loads frameworks

Required Skills

PythonAWS

About Shield AI

AI-powered defense technology for autonomous aircraft and robotics.

Visit Company Website

Ready to Apply?

Join Shield AI and work on cutting-edge AI technology