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Internship Autonomous Systems Engineer Jobs (NOW HIRING)

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How much do internship autonomous systems engineer jobs pay per hour?

As of Jun 29, 2026, the average hourly pay for internship autonomous systems engineer in the United States is $25.42, according to ZipRecruiter salary data. Most workers in this role earn between $20.67 and $28.85 per hour, depending on experience, location, and employer.

What are Internship Autonomous Systems Engineers?

Internship Autonomous Systems Engineers are students or recent graduates who work temporarily with a company to gain hands-on experience in designing, developing, and testing autonomous systems, such as self-driving vehicles or robotics. Their responsibilities typically include assisting with software development, data analysis, simulation, and integration of sensors and control systems. This internship provides practical exposure to cutting-edge technologies and helps interns develop technical and problem-solving skills relevant to autonomous systems engineering.

What are the key skills and qualifications needed to thrive as an Internship Autonomous Systems Engineer, and why are they important?

To thrive as an Internship Autonomous Systems Engineer, you need a solid foundation in robotics, control systems, programming (often Python/C++), and a relevant engineering or computer science background. Familiarity with tools such as ROS (Robot Operating System), simulation platforms (like Gazebo), and version control systems (e.g., Git) is highly valued. Strong problem-solving abilities, teamwork, and clear communication help interns excel in collaborative, fast-paced engineering environments. These competencies are crucial for effectively contributing to the development and testing of autonomous technologies while learning from experienced professionals.

What types of projects and technologies can I expect to work with as an Autonomous Systems Engineer intern?

As an Autonomous Systems Engineer intern, you will typically engage in hands-on projects involving robotics, sensor integration, computer vision, and machine learning algorithms. You may contribute to developing, testing, and optimizing autonomous navigation systems or simulation environments. Interns often collaborate closely with multidisciplinary teams of software, hardware, and systems engineers, gaining exposure to real-time problem-solving and rapid prototyping. This experience provides valuable insight into industry-standard tools and practices, setting a strong foundation for a career in autonomous systems.

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

AspectInternship Autonomous Systems EngineerInternship Robotics Engineer
CredentialsRelevant coursework, basic certifications in autonomous systems or roboticsSimilar credentials, often with focus on robotics or control systems
Work EnvironmentAutonomous vehicle labs, research centers, tech companiesRobotics labs, manufacturing facilities, research institutions
Industry UsageAutonomous vehicle development, aerospace, defenseManufacturing, service robots, research projects

Both roles involve working with cutting-edge technology, but the Internship Autonomous Systems Engineer focuses on autonomous vehicle and system integration, while the Internship Robotics Engineer emphasizes robot design and control systems. The choice depends on your specific interest in autonomous navigation versus robotic hardware development.

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What cities are hiring for Internship Autonomous Systems Engineer jobs? Cities with the most Internship Autonomous Systems Engineer job openings:
What are the most commonly searched types of Autonomous Systems Engineer jobs? The most popular types of Autonomous Systems Engineer jobs are:
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Infographic showing various Internship Autonomous Systems Engineer job openings in the United States as of June 2026, with employment types broken down into 64% Full Time, 18% Part Time, 7% Temporary, and 11% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $52,867 per year, or $25.4 per hour.

Autonomous Systems Technical Lead (Sr. Principal Systems Engineer)

V2X

Indianapolis, IN • On-site

Full-time

Posted 6 days ago


V2X rating

8.7

Company rating: 8.7 out of 10

Based on 40 frontline employees who took The Breakroom Quiz

50th of 356 rated engineering


Job description

Overview

Working across the globe, V2X builds smart solutions designed to integrate physical and digital infrastructure from base to battlefield. We bring 120 years of successful mission support to improve security, streamline logistics, and enhance readiness. Aligned around a shared purpose, our $3.9B company and 16,000 people work alongside our clients, here and abroad, to tackle their most complex challenges with integrity, respect, responsibility, and professionalism.

V2X is seeking an Autonomous Systems Technical Lead with a passion for autonomous vehicle system integration and test to join our Systems Engineering team in Indianapolis, IN. This position involves creating advanced autonomous technologies as part of a fast moving, cross functional team. You’ll work closely with partners inside and outside the organization to design and deliver innovative solutions for autonomous vehicles in a variety of operational environments.


Responsibilities

The ideal candidate embraces modern development processes and techniques that improve product quality & team productivity and has experience developing and integrating advanced systems including situational awareness displays, mission computers, avionics, sensors, mission equipment, and radar systems.  We are looking for engineers that enjoy a challenge and have a passion to support our DoD customers and international allies.

The Autonomous Systems Technical Lead provides technical and programmatic leadership throughout the development life cycle, from concept development, requirements definition, functional analysis, design review support, system implementation, integration, verification, and validation.  The Autonomous Systems Technical Lead will work within a cross-functional Integrated Product Team (IPT), where strong communication and team building skills are critical to success.


Qualifications

Required Skills:

  • At least fifteen (15) years of related engineering experience in systems, software, or hardware engineering.
  • Must be a U.S. Citizen with the ability to obtain a DoD Secret Clearance.
  • Direct responsibility of unmanned ground vehicle (UGV) or autonomous systems design, development, integration, and testing.
  • Demonstrated expertise developing requirements, performing system architecture, and leading hands-on test and integration activities for autonomous or robotics platforms.
  • Experience implementing advanced autonomy algorithms, perception sensor integration (e.g., LIDAR, radar, computer vision), or drive-by-wire subsystems for military or commercial autonomous vehicles.
  • Experience implementing and validating functional safety standards (ex. MIL-STD-882) and supporting cybersecurity risk assessments for vehicle autonomy.
  • Experience providing leadership, technical direction, and guidance to large multi-discipline teams.
  • Experience leading all systems engineering tasks and cross-product activities across the program.
  • Experience leading the development, integration and test of military avionics systems or similarly complex systems.
  • Previous experience as a Lead Systems Engineer, Verification Lead, Integrated Product Team Lead, and/or Product Owner.
  • Experience managing suppliers and overseeing the development of subsystems and components. 
  • Ability to take ownership of the engineering scope within the program and drive the necessary tasks to ultimately ensure the cross-function team meets the technical
    requirements.
  • Strong communication skills and ability to effectively communicate to internal and external stakeholders including leading both internal and customer design reviews.
  • In-depth understanding of the System Engineering Lifecycle and processes.
  • Experience leading Trade Studies, performing Risk and Opportunity analyses, and tracking and mitigating risks.
  • Direct experience working with government customers including the US Army, US Navy, USMC and/or USAF.
  • Experience mentoring engineers of all grade levels.
  • Experience planning, executing and leading integration, verification and validation tasks and cross-product activities across the program.

Desired Skills:

  • Experience with machine learning frameworks and AI integration in autonomous systems
  • Experience with Agile development
  • Experience using standard data languages and tools (C/C++, Python, etc.)
  • Knowledge and experience working with digital data standards such as: MIL-STD-1553, MIL-STD-1760, Universal Armament Interface (UAI), Radio Frequency (RF) communication, and ENET protocols.
  • Experience working the front end of the business, creating/reviewing RFPs, SOWs, BOEs, technical volumes, proposals, cost, and schedule estimates.
  • Project management experience including cost, schedule, supplier management, risk, and opportunity assessment.

Education Requirements:

  • Bachelor’s Degree in Engineering or related STEM discipline.

At V2X, we are deeply committed to both equal employment opportunity, including protection for Veterans and individuals with disabilities, and fostering an inclusive and diverse workplace. We ensure all individuals are treated with fairness, respect, and dignity, recognizing the strength that comes from a workforce rich in diverse experiences, perspectives, and skills. This commitment, aligned with our core Vision and Values of Integrity, Respect, and Responsibility, allows us to leverage differences, encourage innovation, and expand our success in the global marketplace, ultimately enabling us to best serve our clients.

#LI-WH1
#Clearance

Qualifications:

Required Skills:

  • At least fifteen (15) years of related engineering experience in systems, software, or hardware engineering.
  • Must be a U.S. Citizen with the ability to obtain a DoD Secret Clearance.
  • Direct responsibility of unmanned ground vehicle (UGV) or autonomous systems design, development, integration, and testing.
  • Demonstrated expertise developing requirements, performing system architecture, and leading hands-on test and integration activities for autonomous or robotics platforms.
  • Experience implementing advanced autonomy algorithms, perception sensor integration (e.g., LIDAR, radar, computer vision), or drive-by-wire subsystems for military or commercial autonomous vehicles.
  • Experience implementing and validating functional safety standards (ex. MIL-STD-882) and supporting cybersecurity risk assessments for vehicle autonomy.
  • Experience providing leadership, technical direction, and guidance to large multi-discipline teams.
  • Experience leading all systems engineering tasks and cross-product activities across the program.
  • Experience leading the development, integration and test of military avionics systems or similarly complex systems.
  • Previous experience as a Lead Systems Engineer, Verification Lead, Integrated Product Team Lead, and/or Product Owner.
  • Experience managing suppliers and overseeing the development of subsystems and components. 
  • Ability to take ownership of the engineering scope within the program and drive the necessary tasks to ultimately ensure the cross-function team meets the technical
    requirements.
  • Strong communication skills and ability to effectively communicate to internal and external stakeholders including leading both internal and customer design reviews.
  • In-depth understanding of the System Engineering Lifecycle and processes.
  • Experience leading Trade Studies, performing Risk and Opportunity analyses, and tracking and mitigating risks.
  • Direct experience working with government customers including the US Army, US Navy, USMC and/or USAF.
  • Experience mentoring engineers of all grade levels.
  • Experience planning, executing and leading integration, verification and validation tasks and cross-product activities across the program.

Desired Skills:

  • Experience with machine learning frameworks and AI integration in autonomous systems
  • Experience with Agile development
  • Experience using standard data languages and tools (C/C++, Python, etc.)
  • Knowledge and experience working with digital data standards such as: MIL-STD-1553, MIL-STD-1760, Universal Armament Interface (UAI), Radio Frequency (RF) communication, and ENET protocols.
  • Experience working the front end of the business, creating/reviewing RFPs, SOWs, BOEs, technical volumes, proposals, cost, and schedule estimates.
  • Project management experience including cost, schedule, supplier management, risk, and opportunity assessment.

Education Requirements:

  • Bachelor’s Degree in Engineering or related STEM discipline.

At V2X, we are deeply committed to both equal employment opportunity, including protection for Veterans and individuals with disabilities, and fostering an inclusive and diverse workplace. We ensure all individuals are treated with fairness, respect, and dignity, recognizing the strength that comes from a workforce rich in diverse experiences, perspectives, and skills. This commitment, aligned with our core Vision and Values of Integrity, Respect, and Responsibility, allows us to leverage differences, encourage innovation, and expand our success in the global marketplace, ultimately enabling us to best serve our clients.

#LI-WH1
#Clearance

Education:UNAVAILABLEEmployment Type: FULL_TIME

What V2X employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


About V2X

Sourced by ZipRecruiter

Industry

Guided missile and space vehicle manufacturing

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1945