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Autonomous Systems Internship Jobs (NOW HIRING)

Kodiak

Winter 2027 Intern, Motion Planning

Mountain View, CA · On-site

$18.25 - $23.50/hr

Solid understanding of motion planning, decision-making, and trajectory optimization for autonomous systems. Internship Program Details: * Start Date: January 2027. * Our internship program is 12-16 ...

Johns Hopkins Applied Physics Laboratory

Our team works on a set of subject areas that feed into the design of an autonomous system. The ... Proven internship experience or possess extensive classroom project work in a subject matter in any ...

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How much do autonomous systems internship jobs pay per hour?

As of Aug 31, 2026, the average hourly pay for autonomous systems internship in the United States is $15.54, according to ZipRecruiter salary data. Most workers in this role earn between $12.50 and $17.55 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.

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Autonomous Systems Internship jobs near you
Infographic showing various Autonomous Systems Internship job openings in the United States as of August 2026, with employment types broken down into 9% Internship, 69% Full Time, 7% Part Time, 2% Temporary, 11% Contract, and 2% Nights. Highlights an 92% In-person, 2% Hybrid, and 6% Remote job distribution, with an average salary of $32,333 per year, or $15.5 per hour.

Autonomous Vehicle Systems Engineer_ Peoria, IL

Ace Technologies

Peoria, IL • On-site

Other

Posted yesterday

New

Job description

Autonomous Systems Integration Engineer.

What We're Looking For

This is an ideal opportunity for someone who enjoys working at the intersection of robotics, autonomy, hardware integration, and systems engineering. We are seeking candidates who like solving complex system-level challenges, collaborating with diverse technical teams, and helping bring autonomous vehicle technologies from concept through validation.


Required Qualifications

  • Bachelor's degree in Engineering, Computer Science, Robotics, or a related technical field.
  • 2-4 years of relevant experience (internships may be considered).
  • Strong familiarity with robotics and autonomous systems.
  • Experience implementing, integrating, and troubleshooting hardware and electronic systems.
  • Understanding of engineering development processes.
  • Experience with requirements decomposition and solution development.
  • Strong problem-solving and troubleshooting abilities.
  • Excellent written and verbal communication skills.
  • Ability to collaborate effectively with cross-functional and global engineering teams.

Top Skills

  • Robotics and autonomy fundamentals
  • Cross-functional collaboration and communication
  • System design and tradeoff analysis

Preferred Qualifications

  • Experience with autonomous or automated robotic systems.
  • Exposure to mining, construction, agricultural, or heavy equipment industries.
  • Familiarity with product lifecycle processes.
  • Data analysis and issue investigation experience.
  • Knowledge of safety frameworks such as Functional Safety or SOTIF.
  • Experience with simulation tools used for development and validation.
  • Familiarity with CAN, Ethernet, Linux environments, C++, or Python.
  • Experience supporting vehicle-level system integration.





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