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Trainee Uav Sensor Operator Jobs in Texas (NOW HIRING)

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Trainee Uav Sensor Operator information

What is the difference between Trainee Uav Sensor Operator vs Uav Sensor Operator?

AspectTrainee Uav Sensor OperatorUav Sensor Operator
CertificationsBasic UAV operation and sensor training, entry-level certificationsAdvanced UAV operation, sensor management, and possibly additional certifications
Work EnvironmentTraining sites, supervised missions, learning-focused settingsOperational missions, field deployments, autonomous or semi-autonomous flights
Employer & Industry UsageTraining programs, military, or commercial drone companiesMilitary, surveillance, mapping, or industrial drone services

The main difference is that a Trainee Uav Sensor Operator is in training, focusing on learning sensor operation and UAV basics, while a Uav Sensor Operator is fully qualified, performing operational drone missions independently or under supervision.

What are the most commonly searched types of Uav Sensor Operator jobs in Texas?

The most popular types of Uav Sensor Operator jobs in Texas are:

What are popular job titles related to Trainee Uav Sensor Operator jobs in Texas?

For Trainee Uav Sensor Operator jobs in Texas, the most frequently searched job titles are:

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The top searched job categories for Trainee Uav Sensor Operator jobs in Texas are:

Infographic showing various Trainee Uav Sensor Operator job openings in Texas as of August 2026, with employment types broken down into 40% Full Time, 58% Part Time, 1% Contract, and 1% Nights. Highlights an 99% Physical, and 1% Remote job distribution.

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

Shield AI

Dallas, TX

$160K - $240K/yr

Full-time

Re-posted 2 days ago


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-BAT aircraft, 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 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
  • Ability to obtain a S//SAR level security clearance desired.
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
#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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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. 

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.