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Shield AI

Builds autonomous aircraft for defense

Aerodynamics & Performance Engineer

AerodynamicsUpdated on Nov 14
Full-timeDallas, TX, USAIn-person

About the Job

Requirements

  • A B.S. in Aerospace or Mechanical Engineering, or an equivalent technical field.
  • At least 5 years of experience in the aerospace or defense industry.
  • Demonstrated understanding of fixed-wing flight dynamics, aircraft performance, and aerodynamic and propulsion fundamentals.
  • Proficiency in analyzing large data sets to define operational envelope requirements and validate models using Python, MATLAB, or an equivalent tool.
  • Experience developing or maintaining aircraft weight and center-of-gravity models.
  • Ability to work with cross-functional teams to drive change.
  • Strong written and verbal communication skills, including the ability to present technical findings to varied audiences.

Responsibilities

  • Develop and refine endurance, range, loiter, and cruise performance calculations based on flight dynamics, aircraft configuration, and operating environment, including altitude, temperature, wind, and mission profile.
  • Own the aircraft weight and center-of-gravity model, including tracking, allocation budgets, and reporting throughout design changes and configuration updates, and ensure the center of gravity remains within stable flight limits.
  • Create, validate, and maintain the aircraft's aerodynamic models, including lift, drag, and stability, and propulsion models for the Guidance and Controls team to support improvement of the flight computer and autonomy stack.
  • Partner with Mechanical and Propulsion Design engineers to assess the weight, drag, and aerodynamic performance impacts of proposed changes to the airframe, wing, and control surfaces.
  • Collaborate with Go-To-Market teams to evaluate new payloads and estimate endurance and performance for new or customer-specific configurations.
  • Plan and drive flight-test campaigns to validate operational envelopes, correlate aerodynamic and engine models against flight data, and characterize aircraft performance across the flight envelope.
  • Participate in root cause analysis of performance anomalies and test findings, and drive corrective actions to closure.
  • Analyze large flight and test data sets to establish and refine operational envelope requirements and performance specifications.

Desired Qualifications

  • Full lifecycle experience taking a product from concept through development, flight test, and field sustainment.
  • Direct experience with fixed-wing unmanned aerial systems or autonomous aircraft.
  • Experience building or tuning aerodynamic and engine models used by guidance, navigation, and control systems.
  • Hands-on flight-test experience, including test planning, instrumentation, and data reduction.
  • Familiarity with fixed-wing modeling and simulation tools such as MATLAB/Simulink, XFLR5, AVL, or comparable aerodynamic or performance tools.
  • Understanding of relevant airworthiness, safety, or defense acquisition standards.

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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