Engineer II, Flight Controls - X-BAT (R4816)

United States·DallasFull Time Employeemid

OtherEngineer

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Sensor and air data systems CI/CD pipelines and modern DevSecOps practices Experience with HIL or integrated simulation/test envi

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OtherEngineer

Founded in 2015, Shield AI is a venture-backed deep-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include the V-BAT and X-BAT aircraft, Hivemind Enterprise, and the Hivemind Vision product lines. With offices and facilities across the U.S., Europe, the Middle East, and the Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube.

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.

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.

3+ years of experience working 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 within a high-fidelity 6DOF Simulation framework.

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

Autonomous systems or missile/UAV GNC background

Familiarity with:

Sensor and air data systems

CI/CD pipelines and modern DevSecOps practices

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