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Shield AI

Builds autonomous aircraft for defense

Staff Landing Gear Engineer - Landing Gear Systems, Rx

Materials & StructuresPosted on Nov 9
Full-timeDallas, TX, USAIn-person

About the Job

Requirements

  • A B.S. or M.S. in Mechanical Engineering, Aerospace Engineering, or a related technical discipline is required.
  • At least 7 years (L4) to 12 years (L5) of direct experience in aerospace mechanism design, aircraft landing gear systems, or primary structural development is required.
  • Applicants must be U.S. citizens and hold an active Secret or higher clearance.
  • Deep mastery of classical solid mechanics, kinematics, dynamics, fatigue, materials selection (including alloys, heat treatments, surface treatments, and allowables), and geometric dimensioning and tolerancing (GD&T) and tolerance stack-up methodologies is required.
  • Demonstrated ability to perform closed-form hand calculations and finite element analysis (FEA), including linear, non-linear, buckling, and modal analyses, for high-load mechanism and structural components is required.
  • Extensive experience in 3D CAD modeling, mechanism layout, drawing release, and product lifecycle management (PLM) workflows is required; Siemens NX is preferred, or equivalent tools such as CATIA or Creo.
  • A proven track record sourcing aerospace hardware, collaborating with specialized mechanism and actuator suppliers, and supporting physical builds and test rigs is required.
  • Demonstrated ability to self-direct, prioritize technical tasks without oversight, and deliver functional hardware under tight timelines is required.

Responsibilities

  • Lead landing gear architecture definition and trade studies, including electro-mechanical versus hydro-mechanical actuation, fixed versus retractable kinematics, and stowage packaging, to meet vehicle mass, volume, and ground-handling requirements.
  • Own the full computer-aided design (CAD) lifecycle from initial concept through drawing release, including complex linkage kinematics, clearance envelopes, structural load paths, material selection, and rigorous tolerance stack-ups.
  • Perform first-principles classical stress and fatigue hand calculations, supported by finite element analysis (linear and non-linear, modal, and buckling) and dynamic landing-load assessments.
  • Size and select wheels, tires, brakes, shock-absorption systems, actuators, and nose-wheel steering mechanisms for vehicle landing and taxi envelopes.
  • Author technical specifications and statements of work for landing gear components, evaluate vendors, and drive supplier technical execution.
  • Define verification test plans, design mechanical test fixtures, support drop-test campaigns, and execute functional validation against performance requirements.
  • Support prototype assembly, ground taxi testing, and flight-test operations; identify discrepancies, resolve mechanism anomalies through root-cause investigation, and implement rapid design changes.
  • Support proposals and capture, manage external component suppliers, and deliver flight-ready systems in a rapid-iteration development environment.

Desired Qualifications

  • Direct experience with unmanned aerial vehicle (UAV), autonomous aircraft, or rotorcraft landing systems and arresting-gear integration is preferred.
  • Familiarity with aerospace structural, environmental, and mechanism drop-test standards, including MIL-STD-810, RTCA DO-160, AS6053, and MIL-A-8866/MIL-A-8867, is preferred.
  • Hands-on machine-shop, fabrication, or mechanical-assembly experience in a prototype or rapid research and development environment is preferred.

About the Company

Shield AI

Builds autonomous aircraft for defense

Shield AI builds autonomous aircraft and flight software for military and allied defense customers, with a focus on operations where conventional remote control breaks down. Its Hivemind AI pilot handles decisions during a mission, while the V-BAT aircraft gathers intelligence and locates targets. Aircraft makers use its software tools to develop and test their own autonomy, and its Aechelon business supplies visual and sensor simulation for pilot training. The company earns money from aircraft sales, autonomy software and contracted engineering and operational services. Shield AI was founded in 2015 and is headquartered in San Diego, California.

Company size
1,001-5,000
Company stage
Debt Financing
Total funding
$4.8B
Headquarters
San Diego, CA
Founded
2015

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