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Shield AI

Builds autonomous aircraft for defense

Mass Properties Engineer

Aerospace EngineeringUpdated on Nov 14
Full-timeSeattle, WA, USAIn-person

About the Job

Requirements

  • A B.S. in Aerospace Engineering, Mechanical Engineering, Material Science/Engineering, or a related field is required.
  • At least 3 years of experience in mass properties analysis within aerospace, defense, or high-tech vehicle development is required.
  • Proficiency in CAD software such as SolidWorks, Siemens NX, or similar is required.
  • Familiarity with mass properties industry standards such as ATA100, SAWE RP A-7, RP 7, RP 8, or their predecessors is required.
  • Experience defining mass properties requirements and ensuring compliance across design iterations is required.
  • Experience developing and maintaining a Mass Properties Management and Control Plan is required.
  • Strong organizational skills and attention to detail are required.

Responsibilities

  • Lead and participate in system-level trade studies to optimize payload, propulsion, power distribution, thermal management, and flight dynamics.
  • Conduct mass properties estimation for early-stage designs, prototyping, and full-scale production.
  • Estimate, calculate, and verify weight, center of gravity, and inertia properties for components, assemblies, and complete aircraft systems.
  • Develop and refine analysis tools and methods for mass properties estimation and optimization.
  • Generate and maintain mass properties reports for engineering, manufacturing, and leadership teams.
  • Implement and execute mass properties verification tests to validate design assumptions.
  • Collaborate with cross-functional teams including aerodynamics, structures, avionics, propulsion, and manufacturing to ensure mass properties are controlled throughout development.
  • Maintain and update the mass properties database to track weight trends across vehicle programs.

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
Series H
Total funding
$4.8B
Headquarters
San Diego, CA
Founded
2015

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