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Shield AI

Builds autonomous aircraft for defense

Senior Stability and Control Engineer - Aerospace

Flight Dynamics & GNCPosted on Nov 13
Full-timeSeattle, WA, USANo salary listedIn-person

About the Job

Requirements

  • A B.S. in Aerospace Engineering or Mechanical Engineering, or an equivalent technical field.
  • At least 3 years of experience in stability and control, with strong knowledge of flight dynamics, 6DOF model development, trim and linearization, and flying qualities analysis.
  • Proven experience in wind tunnel or flight testing and translating experimental data into aerodynamic databases and simulation environments.
  • A demonstrated record of working hard, being a trustworthy teammate, holding oneself and others to a high standard, and treating others kindly.

Responsibilities

  • Evaluate static and dynamic stability, trim, control power, and flying qualities across the flight envelope, including high angle of attack, departure resistance, and failure-state conditions.
  • Synthesize wind tunnel, computational fluid dynamics, and flight test data into aerodynamic and stability and control databases, including control effectiveness, propulsion effects, hinge moments, and flexibility effects, for simulation, control law design, and flight clearance.
  • Define control surface sizing, control allocation requirements, center of gravity limits, and actuator rate and hinge moment requirements in partnership with controls, structures, and avionics teams.
  • Define stability and control test requirements, develop run plans and flight test maneuvers, and apply parameter identification methods to correlate and update aerodynamic models.
  • Partner with cross-disciplinary teams to define air data requirements that support stability and control needs, and deliver analyses that establish safe flight envelopes and support stores separation and envelope expansion.

Desired Qualifications

  • Proficiency in developing custom software or scripting in MATLAB, Simulink, or Python to automate analysis and maximize team throughput.
  • Experience optimizing aircraft planforms and control suites for adequate stability and maneuverability, particularly for tailless aircraft or other nontraditional configurations.
  • Familiarity with flying qualities criteria such as MIL-STD-1797, system identification, and flight test data analysis for envelope expansion.
  • A proven ability to take on complex, ill-defined assignments and deliver creative, best-value engineering solutions.

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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