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Shield AI

a16z portfolio company

Loads and Dynamics Analyst (R5841 - TX/DC)

Location
Dallas, Texas, Washington, D.C.
Work arrangement
On-site
Job type
Full-time
Compensation
USD 145,000–220,000

About the role

Posted Oct 6, 2026

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. 

Job Description:
As a Staff Loads Engineer, you will lead the generation and analysis of structural and aerodynamic load cases that define the mechanical environment for the next-gen air vehicle. You’ll play a key role in shaping how loads flow through the aircraft structure—supporting structural sizing, airworthiness, aeroelastic stability, and flight performance.
 
This is a highly cross-functional role requiring deep technical knowledge of aeroelastic theory, loads derivation, and flight vehicle behavior. You’ll collaborate closely with structural design, aero, GNC, and test engineering teams to ensure load paths are accurate, traceable, and validated through test or simulation.

What you'll do:

  • 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

Required qualifications:

  • 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
  • Ability to get a S//SAR level security clearance desired.

Preferred qualifications:

  • 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)
#LI-MS2
#LD

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.
 
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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. 

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At a glance

Location
Dallas, Texas · Washington, D.C.
Workplace
On-site
Employment
Full-time
Team
X-BAT Division
Compensation
USD 145,000–220,000
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The company

Shield AI

Shield AI

Shield AI's mission is to protect service members and innocent civilians with artificially intelligent systems. Our initial focus is on the last several miles of the battlefield where we lack capability to collect intelligence. This area is beyond the view of high altitude sensors, too dangerous for people, and too complex for robots to navigate. Consequently, service members are asked to make life altering decisions with limited information. Mistakes are made that cost lives and incur massive collateral damage. Such mistakes cause the United States to lose support of local populations and make conflict unwinnable. This problem is widely recognized throughout the DoD, including the most senior leadership. To address this problem, we are building swarms of small intelligent robots to collect the critical missing information. The systems will scour indoor and outdoor spaces in search of threats and innocent people. They will be deployed by people, trucks, ships, aircraft, and other robots. These robots will become more numerous in combat areas than soldiers. Synthesized information will be presented to service members who will be empowered to make decisions leading to intended outcomes without collateral damage. Conflict becomes less brutal.

Series G

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1,000–5,000 employees
AI
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