Senior Staff Engineer, Flight Controls - X-BAT (R4812)

Posted 5 Days Ago
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Dallas, TX, USA
In-Office
220K-340K Annually
Senior level
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software
Our mission is to protect service members and civilians with intelligent systems.
The Role
Own and deliver the X-BAT flight control system across all flight phases. Design control allocation for over-actuated systems, develop high-fidelity 6DOF simulations, define and execute V&V strategies (including Monte Carlo and HIL), diagnose sim-to-flight mismatches, support flight test operations, integrate control with propulsion/aero/actuation/sensors/autonomy, and mentor engineers.
Summary Generated by Built In
Founded in 2015, 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 and V-BAT and X-BAT aircraft. 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.

What you'll do:

  • 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

Required qualifications:

  • 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.

Preferred qualifications:

  • 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

#LI-SM1
#LE

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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Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal 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. 

Skills Required

  • 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 saturation and failure accommodation
  • Strong background in flight dynamics and 6DOF simulation
  • Strong background in 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
  • VTOL or transition aircraft experience where control blending and allocation were critical
  • Autonomous systems or missile/UAV GNC background
  • Experience with flight safety, airworthiness, and mission assurance
  • Familiarity with sensor and air data systems
  • Familiarity with fault-tolerant or adaptive control
  • Familiarity with 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

What the Team is Saying

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Shield AI Compensation & Benefits Highlights

  • Healthcare Strength Company materials describe excellent medical, dental, and vision coverage alongside a mental‑health EAP. Site perks such as an onsite gym in DC and a gym discount in San Diego support a health‑focused offering.
  • Retirement Support Careers materials highlight a 401(k) with company match as part of the standard package. A Total Rewards overview emphasizes retirement features within a broader, transparent compensation view.
  • Career-Linked Recognition & Rewards Compensation for in‑demand technical and senior go‑to‑market roles is described as competitive, with visible engineering ranges and top‑end packages. This points to meaningful upside tied to role, level, and scarce skills.

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The Company
HQ: Port Melbourne, Victoria
Year Founded: 2015

What We Do

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.

Why Work With Us

What makes Shield AI special is our people. We unlock the power of autonomy, and in the face of overwhelming odds and challenges, we find ways to win and make a difference for our customers. We bring together software, AI, and aerospace engineering disciplines to deploy the most intelligent aviation capabilities in the world.

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Employees engage in a combination of remote and on-site work.

Typical time on-site: 3 days a week
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