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Internship Autonomous Systems Engineer Jobs in Illinois

Systems Engineer 3 Requisition ID: 101550-1 Location: Mossville, Illinois (Onsite) About the Role ... Decompose high-level automation and autonomy features into detailed functional requirements.

Systems Engineer

Mossville, IL · On-site

$47.62/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

As a Systems Engineer, you will work as the engineering interface between L8 Autonomous hauling ... internships as job experience: No - Are there past or additional job titles or roles that would ...

Required Education/Experience:  • Bachelor''s degree in Electronics, Electrical, Mechanical engineering, computer science  or relevant field 3 ...

Systems Engineer

Chillicothe, IL · On-site

$96K - $104K/yr

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  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The team does system integration and validation for remote control, semi-autonomous and autonomous ... Engineering, or BS in Computer Science * 2-5 years' experience required. * Will accept master ...

Trade Systems Engineer

Chicago, IL · On-site

$85K - $125K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using ... technical role (internships or projects count!) * Bachelor's degree in Computer Science ...

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Internship Autonomous Systems Engineer information

What is an internship autonomous systems engineer?

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?

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 internship autonomous systems engineer?

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.

What are the most commonly searched types of Autonomous Systems Engineer jobs in Illinois?

The most popular types of Autonomous Systems Engineer jobs in Illinois are:

What are popular job titles related to Internship Autonomous Systems Engineer jobs in Illinois?

For Internship Autonomous Systems Engineer jobs in Illinois, the most frequently searched job titles are:

What job categories do people searching Internship Autonomous Systems Engineer jobs in Illinois look for?

The top searched job categories for Internship Autonomous Systems Engineer jobs in Illinois are:

What cities in Illinois are hiring for Internship Autonomous Systems Engineer jobs?

Cities in Illinois with the most Internship Autonomous Systems Engineer job openings:

Infographic showing various Internship Autonomous Systems Engineer job openings in Illinois as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 10% Part Time, 3% Contract, and 1% Nights. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution.

Systems Engineer Autonomous Systems, Collision Mitigation & Validation

The AES Group

Mossville, IL • On-site

Contractor

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Job description

Role: Systems Engineer Autonomous Systems, Collision Mitigation & Validation
Location: Mossville, IL – (Onsite)

Let’s create our future together at The AES Group!
About The AES Group:
The AES Group is a premier technology consulting company that has been bringing businesses and talent together for over 20 years to deliver the most innovative technology solutions that create the most positive impact on society.
AES has helped over 40 business enterprises, including Fortune 500 companies, engage their customers, empower their employees, and transform their business operations with the power of cloud, data, AI, and other emerging technologies. 

Position Overview

The client is seeking a Systems Engineer 3 to support the CMS Solutions Group within the Integrated Solutions Division.
This role will focus on system integration, verification, validation, and testing of safety-critical technologies supporting remote-control, semi-autonomous, and autonomous machine programs.
The engineer will work across HIL/SIL laboratories and proving-ground test environments, integrating hardware and software onto surrogate vehicles and production machines.
The role requires strong hands-on troubleshooting, systems engineering, networking, data collection, and test execution capabilities.

Key Responsibilities

  • Design, deploy, and support machine-based data collection systems and connectivity solutions across various equipment and operating environments.
  • Perform data collection, validation, and quality assurance to ensure accurate and reliable system performance.
  • Install, calibrate, and troubleshoot cameras, radar, LiDAR, GPS, and data acquisition hardware.
  • Execute system integration, verification, validation, and field-testing activities for advanced safety and automation technologies.
  • Develop and execute test activities within HIL, SIL, laboratory, and proving-ground environments.
  • Diagnose and resolve hardware, software, networking, and machine integration issues.
  • Perform root cause analysis and implement system changes to resolve technical issues.
  • Develop and maintain engineering documentation, test procedures, validation plans, requirements documentation, and technical reports.
  • Support machine installation, system integration, and data collection activities.
  • Develop Python scripts and test automation to improve validation and testing efficiency.
  • Support testing at proving grounds, customer sites, and machine-testing environments.
  • Collaborate with global software, systems, controls, validation, and product support teams.
  • Contribute to continuous improvement of test processes, data quality, system performance, and validation methodologies.

Required Qualifications

  • Bachelor’s degree in:
    • Electrical Engineering
    • Electronics Engineering
    • Mechanical Engineering
    • Computer Engineering
    • Computer Science
    • Or a closely related engineering/technical field.
  • 2–5 years of relevant industry experience preferred.
  • Candidates with a Master’s degree and 5 years of industry experience may also be considered.
  • Strong understanding of systems engineering, system integration, testing, and validation.
  • Ability to independently plan, execute, document, and troubleshoot engineering test activities

Required Technical Skills

  • Networking and Systems Design
  • Linux OS
  • CAN Tools / CAN communication
  • Camera, Radar, and LiDAR calibration and validation
  • Python scripting
  • Test Automation
  • Hardware/software integration and troubleshooting
  • Data collection and validation
  • System verification and validation

Preferred Skills

  • Machine Operation
  • Robotics
  • Autonomous Systems / Vehicle Autonomy
  • Experience with safety-critical systems
  • Experience working with HIL/SIL testing environments
  • Experience with proving-ground or on-machine testing

Key Soft Skills

  • Strong written and verbal communication
  • Concise and effective technical writing
  • Strong organizational and documentation skills
  • Ability to work independently and manage time effectively
  • Strong problem-solving and troubleshooting skills
  • Ability to collaborate effectively with global engineering teams
  • Strong interpersonal skills and professional judgment

Typical Responsibilities / Day-to-Day Activities

The engineer's typical activities will include:

  • Systems requirements decomposition
  • System design and documentation
  • Machine installation of systems
  • Data collection
  • Verification and validation
  • Root cause analysis
  • Test planning and execution
  • Hardware/software troubleshooting
  • Test automation and simulation support

Team & Work Environment
The engineer will be part of a 30–40 person global engineering team and will communicate frequently with development teams and system leads across the organization.
The team performs system integration and validation for remote-control, semi-autonomous, and autonomous machines, utilizing:

  • HIL Labs
  • SIL Labs
  • Test Benches
  • BB Test Track / Proving Grounds
  • Surrogate vehicles for on-machine testing
  • Automation and simulation environments

This is a 100% onsite role, with travel to proving grounds as required.

Team Mission
Deliver the highest-quality Collision Mitigation solutions to clients and customers on time and within budget.
The selected engineer will contribute to safety-critical products supporting the mining industry and help ensure reliable performance of technologies designed to protect people, equipment, and operations.