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Shield AI

Builds autonomous aircraft for defense

Flight Sciences Engineer - Aerodynamic Design

AerodynamicsUpdated on Nov 11
Full-timeSeattle, WA, USAIn-person

About the Job

Requirements

  • At least 5 years of experience in aerodynamics or conceptual design on air vehicle programs with a Bachelor's degree, 4 years with a Master's degree, 2 years with a PhD, or equivalent work experience.
  • Familiarity with computational fluid dynamics software and techniques.
  • Familiarity with basic aerodynamic tool development in Python or MATLAB.
  • Experience in aircraft sizing and conceptual design.
  • Strong problem-solving, communication, and leadership skills.
  • Ability to deliver high-quality solutions in fast-paced, dynamic environments.

Responsibilities

  • Conduct aerodynamic design and build multidisciplinary optimizations.
  • Run computational fluid dynamics simulations and communicate results.
  • Construct aerodynamic models using wind tunnel data, computational fluid dynamics data, physics-based data, or a combination of these sources.
  • Develop and implement aerodynamic performance models and tools to support design and flight operations.
  • Support wind tunnel test campaigns.
  • Analyze flight test data to validate and refine aerodynamic models and designs.
  • Collaborate with cross-functional teams, including structural engineers, propulsion engineers, and control systems engineers.

Desired Qualifications

  • Background in aircraft aerodynamics across a wide range of flow regimes, from low-subsonic to supersonic flight.
  • Significant computational fluid dynamics experience; STAR-CCM+ is preferred but not required.
  • Multidisciplinary design optimization experience.
  • Experience working in a fast-paced startup or research and development environment.
  • Lofting or surfacing experience, ideally in NX.

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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