Flight Controls Engineer (R4815)

Shieldai; Dallas (TX); On-site; USD 140,000 - 210,000; Full time

Benefits offered by this job

Equity

Performance Bonus

Health Benefits

Job summary

Shield AI seeks a seasoned flight controls/GNC engineer to own the XBAT flight control system, ensuring stable performance across all flight phases. You will lead high-fidelity 6DOF simulations, verification campaigns, and rapid iteration between simulations and flight testing.

The role requires 10+ years in flight controls, strong C++/Python, and the ability to obtain U.S. security clearance; VTOL experience is a plus. Shield AI offers equity and robust benefits.

Qualifications

• 10+ years of flight controls/GNC on real flight vehicles with ownership from design to flight test.
• Proficiency in C++, MATLAB/Simulink, and/or Python with real-time algorithm deployment.
• U.S. security clearance ability; S//SAR desired.
• VTOL/transition aircraft experience with control blending/allocation considerations.
• Autonomous systems or missile/UAV GNC background is preferred.
• Experience with flight safety, airworthiness, and mission assurance.
• Familiar with sensor/air data systems and fault-tolerant or adaptive control; CI/CD awareness.

Responsibilities

• Own the flight control system across all flight phases with robust performance.
• Develop high-fidelity 6DOF simulation environments and preflight predictions.
• Define verification strategy including Monte Carlo analysis and HIL validation.
• Diagnose simulation-to-flight mismatches and dynamic modeling gaps.
• Support flight test operations and drive rapid iteration between flights.
• Integrate control with propulsion, aerodynamics, sensors, and state estimation.
• Mentor engineers and set technical standards for control system rigor.

Skills

Flight controls

GNC

Control theory

6DOF simulation

C++

Python

MATLAB/Simulink

Tools

Git

Linux

CI/CD pipelines

Job description

Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BATaircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and 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.

Job Description:

In this role, you will own 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 deliver the flight control system across all phases of flight including control allocation strategies that manage actuator redundancy, saturation, and degraded operations.
• Lead development of high-fidelity 6DOF simulation environments and ensure accurate pre-flight performance predictions
• Define and execute the verification strategy, including linear analysis, Monte Carlo campaigns, disturbance/sensitivity/degraded operation testing, and HIL validation
• Diagnose and resolve simulation-to-flight mismatches, including unidentified dynamics and modeling gaps
• Support flight test operations, making risk-informed decisions and driving rapid iteration between flights
• Integrate control systems with propulsion, aero, actuation, sensors, state estimation, and autonomy, ensuring the vehicle behaves predictably under real-world disturbances and uncertainties
• Mentor and guide engineers while setting the technical standard for control system performance and rigor
• 10+ years of experience in flight controls / GNC on real flight vehicles, with demonstrated ownership from design through flight test
• Demonstrated experience with control allocation design and implementation for over-actuated systems with provisions for saturation and failure accommodation.
• Strong background in:
• Flight dynamics and 6DOF simulation
• Control theory and nonlinear systems
• Experience executing full V&V cycles, including pre-flight performance prediction, Monte Carlo analysis, flight readiness assessment, and post-flight analysis
• Proficiency in C++, MATLAB/Simulink, and/or Python, with experience deploying real-time algorithms
• Ability to obtain and maintain a U.S. security clearance
• Ability to obtain a S//SAR level security clearance desired.
• VTOL or transition aircraft experience where control blending and allocation were critical to success
• Autonomous systems or missile/UAV GNC background
• Experience with flight safety, airworthiness, and mission assurance
• Familiarity with:
• Sensor and air data systems
• Fault-tolerant or adaptive control
• 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

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.

Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed toequal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know.