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Uav Engineer Jobs in Texas (NOW HIRING)

Shield AI

Staff Engineer, FPGA Design (R5347)

Dallas, TX · On-site

$150K - $230K/yr

Design and develop FPGA-based communication modules for advanced UAV platforms. * Develop solutions ... S, PhD degree in Electrical Engineering, Computer Engineering or STEM (Science, Technology ...

Mustang Cat

Drone Sales Specialist

Houston, TX · On-site

This role focuses on helping customers adopt advanced UAV technology to improve efficiency, data accuracy, and operational effectiveness. You will work directly with civil engineering firms ...

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Uav Engineer information

See Texas salary details

$30.7K

$83.1K

$132.3K

How much do uav engineer jobs pay per year?

As of Sep 2, 2026, the average yearly pay for uav engineer in Texas is $83,088.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,000.00 and $101,600.00 per year, depending on experience, location, and employer.

What is a UAV engineer?

A UAV (Unmanned Aerial Vehicle) Engineer designs, develops, tests, and maintains drone systems for various applications, including military, commercial, and research purposes. They work with hardware and software components such as flight controllers, navigation systems, communication systems, and sensors. UAV Engineers collaborate with multidisciplinary teams to optimize drone performance, ensure regulatory compliance, and address challenges like aerodynamics, power efficiency, and automation.

What does a UAV engineer do?

A typical day for a UAV Engineer often involves designing and testing UAV components, writing and debugging control software, and analyzing flight data to optimize performance. You may participate in collaborative meetings with multidisciplinary teams, including software developers, mechanical engineers, and project managers, to coordinate design efforts and resolve technical challenges. Field testing UAV prototypes is also common, requiring on-site troubleshooting and real-time adjustments. The role blends hands-on technical work with documentation and compliance tasks to ensure projects meet both engineering and safety standards.

What are the key skills and qualifications needed to thrive in the UAV engineer position, and why are they important?

To thrive as a UAV Engineer, you need a strong background in aeronautical engineering or robotics, proficiency in programming (such as C++ or Python), and knowledge of UAV design principles. Familiarity with CAD software, flight simulation tools, embedded systems, and FAA drone regulations is typically required, along with certifications like Part 107 for commercial drone operation. Strong problem-solving skills, attention to detail, and effective teamwork and communication abilities help you excel in cross-functional projects. These skills ensure safe, efficient UAV development and integration in diverse environments, meeting both technical and regulatory standards.

What are popular job titles related to Uav Engineer jobs in Texas?

For Uav Engineer jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Uav Engineer jobs in Texas look for?

The top searched job categories for Uav Engineer jobs in Texas are:

What cities in Texas are hiring for Uav Engineer jobs?

Cities in Texas with the most Uav Engineer job openings:

Uav Engineer jobs near you
Infographic showing various Uav Engineer job openings in Texas as of August 2026, with employment types broken down into 90% Full Time, 6% Part Time, and 4% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $83,088 per year, or $39.9 per hour.

Principal Engineer, State Estimation (Dallas, TX)

Shield AI

Dallas, TX • On-site

$274K - $411K/yr

Full-time

Re-posted 25 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:
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

$274,560 - $411,840 a year
#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.
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.

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