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Entry Level Intelligent Systems Engineering Jobs

AECOM

Join us. AECOM is seeking an Intelligent Transportation Systems (ITS) Engineer to be based in ... Gathers and correlates basic engineering data using established and well-defined procedures.

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Entry Level Intelligent Systems Engineering information

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How much do entry level intelligent systems engineering jobs pay per year?

As of Aug 20, 2026, the average yearly pay for entry level intelligent systems engineering in the United States is $86,381.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,000.00 and $103,500.00 per year, depending on experience, location, and employer.

What is the difference between Entry Level Intelligent Systems Engineering vs Entry Level Robotics Engineering?

AspectEntry Level Intelligent Systems EngineeringEntry Level Robotics Engineering
Required CredentialsBachelor's in Engineering, Computer Science, or related field; knowledge of AI, machine learning, and systems integrationBachelor's in Mechanical, Electrical, or Robotics Engineering; knowledge of control systems, sensors, and automation
Work EnvironmentDesigning and developing intelligent systems, software integration, testing in labs or office settingsBuilding, testing, and maintaining robotic systems, often in labs or manufacturing environments
Industry UsageTech companies, AI firms, defense, and automation industriesManufacturing, automation, aerospace, and research labs

Entry Level Intelligent Systems Engineering focuses on developing and integrating AI-driven systems, while Entry Level Robotics Engineering emphasizes designing and building robotic devices. Both roles require a strong technical background and often overlap in skills like programming and systems analysis, but they serve different primary functions within technology and engineering sectors.

Is system engineer an entry-level job?

A system engineer role can be entry-level, but it often requires some foundational knowledge of systems, networks, or software, along with relevant certifications or internships. Entry-level positions typically focus on supporting more experienced engineers and may involve tasks such as troubleshooting, documentation, and basic system design.

What is an entry level intelligent systems engineer?

An entry level intelligent systems engineer is a professional who designs, develops, and tests systems that incorporate artificial intelligence, machine learning, and automation technologies. They typically have foundational knowledge of programming, data analysis, and systems integration, often using tools like Python, MATLAB, or ROS, and may hold a relevant bachelor's degree. This role involves learning on the job and gaining experience in deploying intelligent solutions in real-world environments.
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The most popular types of Intelligent Systems Engineering jobs are:

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Entry Level Intelligent Systems Engineering jobs near you
Infographic showing various Entry Level Intelligent Systems Engineering job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 9% Part Time, 4% Contract, and 1% Nights. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $86,381 per year, or $41.5 per hour.

COMPUTER SCIENTIST - ENGINEER - RESEARCH ENGINEER - Robotic Autonomy

Southwest Research Institute

San Antonio, TX • On-site

Full-time

Posted 14 days ago

Southwest Research Institute rating

8.9

Company rating: 8.9 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

8th of 74 rated research

Job description

Who We Are:
The Intelligent Systems Division develops automated solutions for commercial and government clients in multiple domains including transportation (traffic management, connected automated vehicle), manufacturing robotics, medical prognostics and communication standards.
Objectives of this Role:
  • Serve as a researcher and software developer on teams developing hardware and software solutions for technology areas such as uncrewed ground vehicles (UGVs), connected and automated vehicles (CAVs), uncrewed aerial systems (UAS), and industrial robots, among others.
  • Develop, test, and deploy hardware and software systems related to perception, localization, navigation, communication, and/or control for systems with varying degrees of autonomy or intelligence (e.g., driverless cars, automated off-road ground vehicles, industrial robots, UAS).
  • Develop novel concepts and technologies related to mobile robotics, industrial robotics, and mobile manipulation.
  • Additional information about the type of work conducted by the Robotic Autonomy Section can be found at: https://www.swri.org/industries/autonomous-vehicle-research-testing

Daily and Monthly Responsibilities:
  • Participate in all phases of the development cycle, including requirements definition, hardware/software systems design, implementation, testing, and integration.
  • Develop software systems to enable UGV, CAV, industrial robotics, and/or UAS applications.
  • Support integration, configuration, testing, and deployment of UGV, CAV, industrial robot, and/or UAS hardware and software systems and applications in real-world settings.
  • Support and eventually initiate advanced research and development programs, interact with clients, make technical presentations, prepare technical reports.

Requirements:
  • Requires a Bachelors or a Masters degree in Computer Engineering, Computer Science, Electrical Engineering, Mechanical Engineering and Aerospace Engineering.
  • 0-2 years: BS candidates must have relevant academic coursework and project experience and/or internship experience. MS candidates must have relevant research experience.
  • Strong software development skills and experience required (preferably object-oriented programming language, such as C++ and/or C#).
  • Systems engineering experience or exposure preferred. Excellent written and verbal communication skills and excellent interpersonal skills and ability to work well individually and as a member of a technical project team.
  • Ability to safely operate, drive, enter/exit vehicles quickly and safely, climb vehicle ladders, navigate around cables and crawl into vehicle interior spaces.
  • A valid/clear driver's license is required.

Special Requirements:
Applicant selected will be subject to a government security investigation and must meet eligibility requirements for access to classified information. Applicant must be a U.S. citizen.
Job Locations: San Antonio, Texas
For more information about this division, visit the Intelligent Systems home page.
For benefits information at our San Antonio location, click here .
For benefits information at all other locations, click here .
An Equal Employment Opportunity Employer: race, color, religion, sex, national origin, disability, and veteran status.

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