Shield AI

Senior Engineer, Flight Controls - X-BAT (R4814)

Shield AI$160K — $240K *
Aerospace & Defense
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years of experience in flight controls/GNC on real flight vehicles.
  • Proficiency in C++, MATLAB/Simulink, and/or Python.
  • Strong background in aircraft flight dynamics and 6DOF simulation.
  • Ability to obtain and maintain a U.S. security clearance.
  • Experience in vehicle modeling, control law design, and verification validation processes.

Responsibilities

  • Design and implement flight control laws and supporting logic for various flight phases.
  • Build and enhance high-fidelity 6DOF simulation environments for performance prediction.
  • Execute verification activities like linear analysis and Monte Carlo campaigns.
  • Diagnose simulation-to-test mismatches and resolve dynamics/modeling gaps.
  • Support flight test operations with rapid iteration between flights.
  • Collaborate with multiple teams to ensure integrated system performance in simulations.

Benefits

  • Comprehensive benefits package including health, dental, and vision coverage.
  • Bonus opportunities available as part of the compensation structure.
  • Equity options provided as part of employee compensation.
  • Access to a temporary benefits package after 60 days of employment.
Full Job Description
Job Description:

In this role, you will contribute to the flight control system for XBAT, with responsibility for delivering stable, predictable, and operationally robust performance across all phases of flight, including vertical takeoff, hover, transition out-bound, wing-borne flight, transition in-bound, and precision recovery.

What you'll do:

  • Design and implement flight control laws and supporting logic across multiple flight regimes.
  • Build and mature high-fidelity 6DOF simulation environments used for control development and ensure accurate pre-flight performance predictions
  • Execute verification activities, including linear analysis, Monte Carlo campaigns, disturbance/sensitivity/degraded operation testing, and HIL validation
  • Diagnose and resolve simulation-to-test mismatches, including unidentified dynamics and modeling gaps
  • Support flight test operations and contribute to rapid iteration between flights
  • Work closely with propulsion, aero, actuation, sensors, state estimation, and autonomy teams to ensure accurate integrated system performance in the 6DOF simulation environment.


Required qualifications:

  • 5+ years of experience in flight controls / GNC on real flight vehicles.
  • Experience performing one or more of the following technical flight control assignments:
    • Vehicle Modeling and Simulation:
      • Demonstrated experience implementing time-accurate mathematical models of the vehicle aerodynamics, mass properties, fuel system, propulsion system, sensors, actuators into a 6DOF simulation environment.
    • Control Law Design:
      • Demonstrated experience designing inner and outer loop control laws for fixed-wing aircraft using classical or modern control techniques.
    • Control Allocation:
      • Demonstrated experience designing control allocation algorithms for over-actuated systems handling actuator saturation, rate limits, failures and degradation.
    • Guidance and Autonomy Integration:
      • Demonstrated experience designing and testing real-time trajectory generation algorithms.
    • Verification and Validation:
      • Demonstrated experience executing linear, nonlinear, and Monte Carlo Analyses in a 6DOF simulation environment.
      • Demonstrated experience executing sensitivity studies, worst-case disturbance analysis, and/or failure detection and accommodation studies validating control robustness against requirements.
      • Demonstrated experience characterizing aircraft flying qualities against tailored MIL-HDBK-516 Section 6 requirements within a high-fidelity 6DOF Simulation framework.
      • Demonstrated experience in generating flight control and simulation data artifacts for Airworthiness Certification (Simulation Description Document, Flying Qualities Report).
    • Flight Test Support:
      • Demonstrated experience in test planning, envelope expansion strategy, and test point selection.
    • Post-Flight Analysis:
      • Demonstrated experience analyzing flight data, comparing predicted vs actual behavior, performing system identification and model refinement tasks, and implementing control design or simulation model updates.
  • Strong background in aircraft flight dynamics and 6DOF simulation
  • Proficiency in C++, MATLAB/Simulink, and/or Python.
  • Ability to obtain and maintain a U.S. security clearance


Preferred qualifications:

  • Autonomous systems or missile/UAV GNC background
  • Familiarity with:
    • Sensor and air data systems
    • CI/CD pipelines and modern DevSecOps practices
  • Experience integrating NPSS propulsion models (transient and steady state) into a 6DOF simulation environment.
  • Experience with HIL or integrated simulation/test environments and Linux-based development workflows (Git, etc.)
  • Experience operating in rapid development environments with tight iteration loops between simulation and test


$160,000 - $240,000 a year

#LI-SM1

#LC

Full-time regular employee offer package:

Pay within range listed + Bonus + Benefits + Equity

Temporary employee offer package:

Pay within range listed above + temporary benefits package (applicable after 60 days of employment)

Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.

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About Shield AI

Shield AI is a defense technology company that develops artificially intelligent systems for military applications. The company was founded in 2015 by Brandon Tseng, Ryan Tseng, and Andrew Reiter, and is headquartered in San Diego, California. Shield AI's products include autonomous drones and software that can be used for reconnaissance, surveillance, and other military operations. The company's mission is to reduce the number of military casualties by providing soldiers with better intelligence and situational awareness. Shield AI has received funding from a number of investors, including Andreessen Horowitz and Founders Fund.
Learn more about Shield AI
Size
200 employees
Industry
Founded
2015

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