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Autonomous Systems Internship Jobs in Addison, TX

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Autonomous Systems Internship information

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How much do autonomous systems internship jobs pay per hour?

As of Sep 15, 2026, the average hourly pay for autonomous systems internship in Addison, TX is $15.05, according to ZipRecruiter salary data. Most workers in this role earn between $12.12 and $16.97 per hour, depending on experience, location, and employer.

What is an autonomous systems internship?

An Autonomous Systems Internship is a temporary position for students or recent graduates to gain hands-on experience working with technologies such as robotics, self-driving vehicles, drones, and artificial intelligence. Interns typically assist in designing, developing, and testing autonomous systems under the guidance of experienced engineers or researchers. These internships provide exposure to real-world applications of autonomous technology and often require knowledge of programming, machine learning, or control systems. The goal is to help interns build practical skills, expand their professional network, and prepare for a career in the field of autonomous systems.

What types of projects do interns typically work on during an autonomous systems internship?

During an Autonomous Systems Internship, interns often participate in hands-on projects involving robotics, machine learning, sensor integration, or simulation environments. They may assist with developing algorithms for navigation, collaborating on system testing, or supporting data analysis for autonomous vehicles or drones. Interns usually work closely with multidisciplinary teams, gaining exposure to both hardware and software aspects of autonomous systems. This collaborative environment helps interns build practical skills and network with experienced professionals in the field.

What are the key skills and qualifications needed to thrive as an autonomous systems intern?

To thrive as an Autonomous Systems Intern, you generally need a solid background in computer science, robotics, or engineering, with coursework or experience in algorithms, control systems, and machine learning. Familiarity with programming languages such as Python or C++, simulation tools like ROS (Robot Operating System), and version control systems (e.g., Git) is typically expected. Strong problem-solving abilities, teamwork, and effective communication are important soft skills for collaborating on complex technical projects. These skills and qualifications enable interns to contribute meaningfully to the development and testing of autonomous technologies in a fast-evolving field.

What is the difference between Autonomous Systems Internship vs Robotics Engineering Internship?

AspectAutonomous Systems InternshipRobotics Engineering Internship
Required CredentialsRelevant coursework, technical skills in AI, machine learning, and systems integrationEngineering background, robotics courses, programming skills in C++, Python
Work EnvironmentResearch labs, tech companies, autonomous vehicle firmsManufacturing plants, research labs, robotics companies
Employer & Industry UsageAutonomous vehicle developers, AI firms, transportation techRobotics firms, industrial automation, manufacturing

Autonomous Systems Internships focus on developing and testing autonomous technologies like self-driving cars, requiring skills in AI and systems integration. Robotics Engineering Internships emphasize designing and building robotic systems, often involving mechanical and electrical engineering. Both roles are industry-relevant and share overlapping skills but differ in their specific focus areas and work environments.

What cities near Addison, TX are hiring for Autonomous Systems Internship jobs?

Cities near Addison, TX with the most Autonomous Systems Internship job openings:

Autonomous Systems Internship jobs near you
Infographic showing various Autonomous Systems Internship job openings in Addison, TX as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 11% Part Time, 4% Contract, and 1% Nights. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $31,300 per year, or $15 per hour.

Electrical Engineer, Test Equipment Design

Dallas, TX • On-site

Shield AI
Software Development • 11 - 50 employees
Learn more about Shield AIexternal

Full-time

Re-posted 16 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:
At Shield AI, we are revolutionizing defense technology to protect service members and civilians with intelligent, autonomous systems. Our Hardware Test Engineering team plays a critical role in ensuring the V-BAT remains the most reliable, mission-ready UAV in the industry. We design cutting-edge test solutions-custom-built electrical and mechanical systems that push our hardware to its limits in real-world and extreme environments.
As an Electrical Engineer on our Hardware Test team, you'll have the opportunity to design and automate test systems that validate everything from power electronics to RF communications. You'll work hands-on with PCB design, Python scripting, and advanced environmental testing (HASS, ESS, HALT) to ensure the highest standards of reliability. If you're passionate about building rock-solid hardware and thrive in a fast-paced, multidisciplinary environment, this role is for you.
What you'll do:
  • Design and own test systems for critical UAV components and subsystems, from concept to validation.
  • Work across multiple EE disciplines, including power electronics, RF, communications, and system integration.
  • Develop PCBs to interface between test stands and the device-under-test (DUT).
  • Build custom test fixtures integrating relays, PLCs, PCBAs, and harnessing for automated and high-fidelity testing.
  • Automate test sequences using Python, ensuring repeatability, efficiency, and scalability.
  • Collaborate in cross-functional design reviews, advocating for testability improvements that streamline hardware validation.
  • Adapt and innovate in a fast-moving, high-stakes environment, where your work directly impacts mission success.
  • Other duties as assigned.

Required qualifications:
  • B.S. in Electrical Engineering or equivalent hands-on experience OR you are an undergraduate, graduate or PhD student expected to graduate in 2026.
  • Strong foundation in electrical, mechanical, and software engineering principles.
  • Experience in multidisciplinary hardware projects-whether through internships, jobs, clubs, personal projects, or research.
  • A track record of ownership, innovation, and delivering results in complex technical environments.
  • A team-first mindset, holding yourself and others to high standards, while being adaptable and solution-oriented.
  • A track record of working hard, being a trustworthy teammate, holding yourself and others to high standards, and being kind to others.

Preferred qualifications:
  • Proficiency in Python or other scripting languages for automation.
  • Experience with PCB design tools (Altium, KiCAD, Eagle, etc.).
  • Familiarity with CAD tools (SolidWorks, NX, CATIA) for mechanical fixture design.
  • Ability to problem-solve under pressure and pivot quickly in a dynamic, fast-paced engineering environment.

#LI-JM2
#LA
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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