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Full Time Drone Testing Jobs (NOW HIRING)

Wing

Analytics Manager

$154K - $204K/yr

Wing offers drone delivery as a safe, fast, and sustainable solution for last mile logistics ... Conduct scenario analyses and sensitivity testing to support strategic decisions. * Synthesize ...

Skydio, Inc

Revenue Operations Analyst, CPQ

San Mateo, CA · On-site

$120K - $180K/yr

Skydio is the leading US drone company and the world leader in autonomous flight, the key ... Own testing (UAT), documentation, and enablement (guides, videos, office hours). * Monitor health ...

GliaCell Technologies

Junior DevOps Engineer

Annapolis, MD · On-site

$50K - $120K/yr

Tired of being treated like a company drone? * Tired of promised adventures during the hiring phase ... This is a full-time position offering the opportunity to support a U.S. Government customer. The ...

Wing

Senior Hardware Validation Engineer

Palo Alto, CA · On-site

$211K - $224K/yr

Wing offers drone delivery as a safe, fast, and sustainable solution for last mile logistics ... The US base salary range for this full-time position is the salary range below + bonus + equity ...

Chipton Ross

Electrical Engineer

Tulsa, OK · On-site

$64/hr

Ability to work in manufacturing environments and support hands-on troubleshooting and testing ... Experience developing secondary power distribution systems, developing drone communications and ...

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How much do full time drone testing jobs pay per hour?

As of Jul 23, 2026, the average hourly pay for full time drone testing in the United States is $20.75, according to ZipRecruiter salary data. Most workers in this role earn between $18.03 and $22.12 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Full Time Drone Tester, and why are they important?

To thrive as a Full Time Drone Tester, you need a solid understanding of drone technology, flight operations, and troubleshooting, typically supported by a relevant technical degree or equivalent experience. Familiarity with drone flight control software, data analysis tools, and certifications such as FAA Part 107 (for U.S. operators) are commonly required. Attention to detail, problem-solving, and effective communication are critical soft skills for accurately reporting test results and collaborating with engineering teams. These skills ensure safe, reliable drone performance and contribute to the development and improvement of drone technology.

What are some typical challenges faced during full-time drone testing, and how can they be managed?

Full-time drone testing professionals often encounter challenges such as unpredictable weather conditions, hardware malfunctions, and software glitches. Managing these requires strong troubleshooting skills, adaptability, and a proactive approach to safety protocols. Collaboration with engineers and developers is essential to quickly address technical issues and ensure data accuracy. Maintaining detailed test documentation and being prepared to adjust test plans on the fly are also key aspects of the role.

What is full time drone testing?

Full time drone testing is a professional role where individuals are responsible for evaluating the performance, safety, and reliability of drones through various tests and trials. These specialists ensure that drones meet industry standards and function as intended in different environments. The job involves tasks such as test planning, flight operations, data collection, troubleshooting, and reporting findings. Full time drone testers may work for manufacturers, research organizations, or regulatory agencies to help advance drone technology and ensure public safety.

What is the difference between Full Time Drone Testing vs Part Time Drone Testing?

AspectFull Time Drone TestingPart Time Drone Testing
CredentialsFAA drone certification, relevant technical trainingFAA drone certification, relevant technical training
Work EnvironmentOffice, outdoor testing sites, drone labsFlexible locations, part-time hours, outdoor and indoor settings
Industry UsageFull-time employment in drone companies, research, or government agenciesFreelance, seasonal, or supplemental roles in similar industries

Full Time Drone Testing involves a dedicated, full-time role requiring consistent hours, often with benefits, in professional testing environments. Part Time Drone Testing offers flexible hours, suitable for those seeking supplemental income or flexible schedules, with similar certification requirements. Both roles demand FAA drone certification and technical skills, but differ mainly in hours and employment structure.

What are the most commonly searched types of Drone Testing jobs? The most popular types of Drone Testing jobs are:
What job categories do people searching Full Time Drone Testing jobs look for? The top searched job categories for Full Time Drone Testing jobs are:
Full Time Drone Testing jobs near you
Infographic showing various Full Time Drone Testing job openings in the United States as of July 2026, with employment types broken down into 31% Locum Tenens, 56% Full Time, 3% Part Time, 1% Temporary, 5% Contract, and 4% Summer. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $43,166 per year, or $20.8 per hour.
Autonomy Engineer - ML & DL Infrastructure

Autonomy Engineer - ML & DL Infrastructure

Skydio, Inc

San Mateo, CA • On-site

$170K - $277K/yr

Full-time

Medical, Retirement, PTO

Posted 16 days ago

Job description

Skydio is the leading US drone company and the world leader in autonomous flight, the key technology for the future of drones and aerial mobility. The Skydio team combines deep expertise in artificial intelligence, best-in-class hardware and software product development, operational excellence, and customer obsession to empower a broader, more diverse audience of drone users, from utility inspectors to first responders, soldiers in battlefield scenarios, and beyond.
About the Role:
Skydio is the leading US drone company and the world leader in autonomous flight. We leverage breakthrough AI to create the world's most intelligent flying machines for use by our enterprise, public safety, defense and other customers. Learning a semantic and geometric understanding of the world from best-in-class visual data is the core of our autonomy system. We are pushing the boundaries of what is possible with deep networks, AI and ML to accelerate progress in intelligent aerial robots that can autonomously navigate in unknown environments and deliver operational value to users.
If you are excited about leveraging massive amounts of structured video data to solve open problems in object detection and tracking, optical flow estimation and segmentation, we would love to hear from you. As a deep learning infrastructure engineer, you will be responsible for building and scaling the infrastructure that supports Skydio's DL and AI training efforts. You will be working at the nexus of Skydio's autonomy and cloud teams to deliver new capabilities and empower AI/ML solutions at Skydio.
How You'll Make an Impact:
  • Design and implement scalable, extensible, interactive data pipelines and annotation workflows
  • Build tools that leverage state-of-the-art machine learning systems for efficient data exploration and curation across the fleet of Skydio drones
  • Design and implement pipelines for data ingestion, versioning, model training, deployment and monitoring
  • Optimize and scale deep learning training workflows to improve team iteration velocity
  • Leverage your expertise and best-practices to uphold and improve Skydio's engineering standards

What Makes You a Good Fit:
  • Demonstrated hands-on experience with data engineering and building large scale, performant and efficient data processing pipelines
  • Demonstrated hands-on experience with cloud-based ML platforms, containerization technologies, ML Ops platforms and databases
  • Experience and understanding of security and compliance requirements in ML infrastructure
  • Demonstrated hands-on experience building and managing ML pipelines including data preparation, model training, model deployment and monitoring
  • You have demonstrated ability to take a concept and systematically drive it through the software lifecycle: architecture, development, testing, and deployment, and monitoring
  • You are comfortable navigating and delivering within a complex codebase
  • Strong communication skills and the ability to collaborate effectively at all levels of technical depth
  • Obtaining FAA Part 107 certification within the first 60 days of employment is strongly encouraged for all Skydio employees and required for certain positions.

Compensation: At Skydio, our compensation packages for regular, full-time employees include competitive base salaries, equity in the form of stock options, and comprehensive benefits packages. Compensation will vary based on factors, including skill level, proficiencies, transferable knowledge, and experience. Relocation assistance may also be provided for eligible roles. The annual base salary range for this position is $170,000 - 277,500*. Fundamentally, we believe that equity is the key to long-term financial growth, and we ensure all regular, full-time employees have the opportunity to significantly benefit from the company's success. Regular, full-time employees are eligible to enroll in the Company's group health insurance plans. Regular, full-time employees are eligible to receive the following benefits: Paid vacation time, sick leave, holiday pay and 401K savings plan. This position and all associated benefits are subject to applicable federal, state, and local laws, as well as the Company's policies and eligibility criteria.
*Compensation for certain positions may vary based on the position's location.
#LI-SM1
At Skydio we believe that diversity drives innovation. We have created a multidisciplinary environment that embraces the power of diverse perspectives to create elegant solutions for complex problems. We are committed to growing our network of people, programs, and resources to nurture an inclusive culture.
Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or other characteristics protected by federal, state or local anti-discrimination laws.
For positions located in the United States of America, Skydio, Inc. uses E-Verify to confirm employment eligibility. To learn more about E-Verify, including your rights and responsibilities, please visit https://www.e-verify.gov/

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