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Full Time Avionics Intern Jobs (NOW HIRING)

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Full Time Avionics Intern information

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How much do full time avionics intern jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for full time avionics intern in the United States is $17.04, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 per hour, depending on experience, location, and employer.

What is the difference between Full Time Avionics Intern vs Full Time Avionics Technician?

AspectFull Time Avionics InternFull Time Avionics Technician
CredentialsTypically pursuing or recently completed relevant education (e.g., electronics, avionics)Relevant certifications (e.g., FCC, FAA certifications) often required
Work EnvironmentTraining-focused, supervised environment, often in aerospace companies or maintenance facilitiesHands-on maintenance, troubleshooting, and repair of avionics systems in operational settings
Job ResponsibilitiesAssisting with system testing, learning avionics systems, supporting projectsDiagnosing issues, repairing avionics equipment, ensuring system compliance

In summary, a Full Time Avionics Intern is primarily a learning role with training and support responsibilities, while a Full Time Avionics Technician is a skilled professional responsible for maintaining and repairing avionics systems in operational environments.

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What cities are hiring for Full Time Avionics Intern jobs?

Cities with the most Full Time Avionics Intern job openings:

What are the most commonly searched types of Avionics Intern jobs?

The most popular types of Avionics Intern jobs are:

Infographic showing various Full Time Avionics Intern job openings in the United States as of August 2026, with employment types broken down into 22% Internship, 1% As Needed, 48% Full Time, 27% Part Time, 1% Temporary, and 1% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $35,436 per year, or $17 per hour.

Senior Engineer, VBAT Software Test Automation (Hiring Multiple Levels)

Shield AI

San Diego, CA

$95K - $200K/yr

Full-time

Re-posted 7 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. 

Shield AI has been redefining autonomous aviation with cutting-edge AI and GPS/RF-denied navigation technologies for the past few years.
 
We’re looking for a software engineer, well versed in development and testing, to help continue building V-BAT's test operations, specifically automation capabilities and tools used to test software components ranging from autonomy, embedded systems, ground control applications, and more – you will gather requirements and write software to automate them.  
 
This is an opportunity to build and solve problems defense primes are unwilling to. You’ll be supported by world-class engineers, but you’re expected to learn on the job and deliver weekly – you’ll need to be hungry and motivated to grow!
WHAT YOU'LL DO:
  • Work directly with our GNC and Embedded teams daily to build software that leverages simulation, avionics, and/or custom hardware to automate testing 
  • Define test cases to verify and validate embedded or GNC software at a system level, automating them to run continuously 
  • Implement software interfaces and drivers to orchestrate simulation environments, hardware devices, and test equipment – enabling real-world behaviors, failure injection, and hardware manipulation for various test scenarios 
  • Quickly prototype solutions using software & hardware to unblock testing, harden your prototype into scalable products for continuous release testing 
  • Support release test planning and execution leading up to flight test events and major product milestones 
REQUIRED QUALIFICATIONS:
  • 2+ years of related experience with a Bachelor’s degree (CE, CS, EE); or some industry experience (intern, startup, self-projects) with a Master’s or PhD degree 
  • Strong C++ or Python skills, basic proficiency in the other 
  • Familiarity with common version control (git) and build/packaging systems (CMake, Poetry, etc) 
  • Passion for growth, fast-paced environments, and holding self to a high standard of excellence 
PREFERRED QUALIFICATIONS
  • 5+ years of related experience building automated test solutions
  • Experience building automated test solutions for aircraft of autonomous vehicles
  • Experience in automated testing, bare-metal firmware development, or simulation tooling 
#LI-SM1

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.