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Overnight Uav Sensor Operator Jobs in Texas (NOW HIRING)

TSMG

Commercial Truck Driver

Dallas, TX · On-site

... overnight layovers as part of planned rotations. Drivers will work in a two-shift structure and support basic field-operator tasks related to sensor readiness, including cleaning and simple reset ...

TSMG

Commercial Truck Driver

El Paso, TX · On-site

... overnight layovers as part of planned rotations. Drivers will work in a two-shift structure and support basic field-operator tasks related to sensor readiness, including cleaning and simple reset ...

TSMG

Commercial Truck Driver

El Paso, TX · On-site

... overnight layovers as part of planned rotations. Drivers will work in a two-shift structure and support basic field-operator tasks related to sensor readiness, including cleaning and simple reset ...

L3HHCM20

Specialist, Software Engineering

Plano, TX · On-site

... UAS / UAV), advanced radar systems, next-generation weapon systems, and other RF sensor ... Utilize modeling tools and equipment to establish operating data, conduct experimental tests ...

TSMG

Commercial Truck Driver

Dallas, TX · On-site

... overnight layovers as part of planned rotations. Drivers will work in a two-shift structure and support basic field-operator tasks related to sensor readiness, including cleaning and simple reset ...

TSMG

Commercial Truck Driver

Dallas, TX

... overnight layovers as part of planned rotations. Drivers will work in a two-shift structure and support basic field-operator tasks related to sensor readiness, including cleaning and simple reset ...

Shield AI

Senior Product Designer (R4854)

Dallas, TX · On-site

... enabling human operators to plan, command, and monitor autonomous assets with precision and ... Engage in end-to-end design of HMI systems for UAV ground control station displays * Translate ...

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Overnight Uav Sensor Operator information

What is an overnight UAV sensor operator?

Overnight UAV Sensor Operators are professionals who manage and operate unmanned aerial vehicles (drones) equipped with various sensors during nighttime hours. Their responsibilities include monitoring live feeds, collecting data such as thermal imagery or video, and ensuring the safe operation of UAVs according to mission requirements. These operators typically work in industries like security, agriculture, emergency response, or surveillance, where overnight aerial monitoring is critical. They must be skilled in remote piloting, interpreting sensor data, and following strict safety protocols.

What are the key skills and qualifications needed to thrive as an overnight UAV sensor operator?

To thrive as an Overnight UAV Sensor Operator, you need a solid understanding of UAV operations, sensor systems, and data analysis, often supported by relevant technical training or certifications such as Part 107 Remote Pilot Certificate. Familiarity with UAV control software, GIS mapping tools, and real-time video or imagery analysis platforms is typically required. Strong attention to detail, situational awareness, and effective communication are crucial soft skills for success in this role. These skills ensure accurate data collection, effective mission execution, and safety during overnight operations.

What are some common challenges faced by overnight UAV sensor operators and how can they be managed?

Overnight UAV Sensor Operators often encounter challenges such as maintaining concentration during long shifts and effectively interpreting sensor data in low-light conditions. Fatigue management is crucial, as the overnight schedule can disrupt normal sleep patterns, so operators should prioritize rest and follow recommended shift work practices. Additionally, clear communication with team members and ground control is essential for addressing unexpected issues and ensuring mission objectives are met safely and efficiently.

What is the difference between Overnight Uav Sensor Operator vs Uav Pilot?

AspectOvernight Uav Sensor OperatorUav Pilot
CertificationsFAA Part 107, sensor operation trainingFAA Part 107, pilot certification
Work EnvironmentRemote sensing, data collection, night shiftsFlying UAVs, navigation, flight control
Industry UsageSurveillance, mapping, reconnaissanceAerial photography, inspection, delivery

While both roles require FAA Part 107 certification, the Overnight Uav Sensor Operator specializes in operating sensors for data collection during night shifts, focusing on surveillance and mapping. The Uav Pilot primarily controls the drone's flight, often during daytime, for photography or inspection tasks. Both roles are essential in UAV operations but differ in focus and responsibilities.

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 cities in Texas are hiring for Overnight Uav Sensor Operator jobs?

Cities in Texas with the most Overnight Uav Sensor Operator job openings:

Overnight Uav Sensor Operator jobs near you
Infographic showing various Overnight Uav Sensor Operator job openings in Texas as of August 2026, with employment types broken down into 75% Full Time, and 25% Part Time. Highlights an 100% In-person job distribution.

Principal Engineer, State Estimation (Dallas, TX)

Shield AI

Dallas, TX • On-site

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

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:
As a Principal State Estimation Engineer, you will play a key role driving the development, optimization, and deployment of advanced sensor fusion algorithms for autonomous UAV navigation in dynamic and contested environments. You will design and implement real-time sensor processing pipelines, integrate multi-sensor data for robust navigation and state estimation, and collaborate closely with autonomy researchers, software engineers, and hardware teams to ensure seamless system performance.
Your expertise will contribute to transitioning cutting-edge research into deployable solutions, helping Shield AI push the boundaries of UAV autonomy and situational awareness.
What you'll do:
  • Develop and implement advanced state estimation algorithms, including inertial navigation, sensor fusion, and alternative navigation techniques for denied environments.
  • Design and optimize state estimation frameworks to integrate data from IMUs, GNSS receivers, visual odometry, magnetometers, barometers, and radar systems.
  • Build real-time sensor processing pipelines for UAV platforms, focusing on robustness, accuracy, and failover performance.
  • Collaborate with autonomy, software, and hardware teams to ensure seamless integration of state estimation components within larger autonomous systems.
  • Lead simulation, lab testing, and field validation of state estimation algorithms to assess performance under varying operational conditions.
  • Stay on the forefront of navigation and state estimation innovation-adapting emerging technologies and research into deployable, mission-ready solutions.

Required qualifications:
  • Typically requires a minimum of 12 years of relevant experience with a bachelor's degree; or 10 years with a master's degree; or a PhD with 8 years of experience; or equivalent practical experience.
  • Deep experience developing real-time navigation and/or sensor fusion algorithms with IMUs, GPS, and other sensors.
  • Strong understanding of state estimation techniques (e.g., Kalman filters, extended and unscented variants, particle filters, etc.).
  • Proficiency with C++11 or newer; experience with real-time operating environments.
  • Comfort with Linux, scripting, and standard development tools.
  • Excellent communication and collaboration skills; ability to work across engineering disciplines and with external partners.
  • Proven track record of successfully shipping products, showcasing the ability to navigate through development cycles, overcome obstacles, and deliver high-quality solutions to meet project deadlines and exceed expectations in a fast-paced environment.
  • You have a demonstrated record of working hard, being a trustworthy teammate, holding yourself and others to high standards, and being kind to others.

Preferred qualifications:
  • Experience developing and implementing inertial navigation solutions for GPS-denied or degraded environments.
  • Knowledge of computer vision techniques
  • Proficiency in optimizing algorithms for compute-constrained systems
  • Experience with CUDA or other hardware acceleration technologies (e.g. FPGAs)
  • Proven track record of transitioning from R&D to production

#LI-JM2
#LF
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 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.

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