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Entry Level Intelligent Systems Engineering Jobs

Boeing

Entry Level Systems Engineer

Albuquerque, NM · On-site

Entry Level Systems Engineer Company: The Boeing Company Job ID: 00000275216 Date Posted: 2022-02 ... Bachelor degree or higher in engineering, mathematics, physics or chemistry. Preferred ...

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.

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

As of May 29, 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 are the key skills and qualifications needed to thrive as an Entry Level Intelligent Systems Engineer, and why are they important?

To thrive as an Entry Level Intelligent Systems Engineer, you need a solid background in computer science, mathematics, and engineering principles, often evidenced by a relevant bachelor's degree. Familiarity with programming languages (such as Python or C++), machine learning frameworks, and simulation tools is typically required. Strong analytical thinking, teamwork, and effective communication skills help you collaborate on complex projects and solve interdisciplinary problems. These competencies are crucial for designing, implementing, and optimizing intelligent systems that meet real-world needs.

What types of projects and technologies do entry-level Intelligent Systems Engineers typically work on in their first year?

Entry-level Intelligent Systems Engineers often start by contributing to projects involving robotics, machine learning models, or embedded systems. They may be responsible for tasks such as developing algorithms, testing prototypes, analyzing system performance, or troubleshooting hardware/software integration issues. Team collaboration is common, especially with senior engineers, data scientists, and software developers, providing excellent learning opportunities. Exposure to a variety of technologies and real-world applications helps new engineers quickly build foundational skills and understand the broader impact of intelligent systems in industries like healthcare, automotive, or manufacturing.

What is an entry level intelligent systems engineer?

An entry level intelligent systems engineer is a professional who works on designing, developing, and implementing intelligent systems, such as artificial intelligence, machine learning algorithms, and robotics, typically at the start of their career. They often assist senior engineers in creating software or hardware systems that can perceive, reason, and make decisions. Their responsibilities might include coding, testing, debugging, and collaborating with multidisciplinary teams to solve real-world problems using intelligent technologies.

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.

More about Entry Level Intelligent Systems Engineering jobs
What cities are hiring for Entry Level Intelligent Systems Engineering jobs? Cities with the most Entry Level Intelligent Systems Engineering job openings:
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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 May 2026, with employment types broken down into 1% Locum Tenens, 93% Full Time, 5% Part Time, and 1% Nights. Highlights an 77% Physical, and 23% Remote job distribution, with an average salary of $86,381 per year, or $41.5 per hour.
Entry Level Model-Based Systems Engineer (MBSE)

Entry Level Model-Based Systems Engineer (MBSE)

KODA Technologies

Huntsville, AL

Full-time

Posted 7 days ago

Job description

Entry Level Model-Based Systems Engineer (MBSE)

Company Overview:

KODA is a people-first company recognized as a five-time winner of Huntsville's Best Places to Work® Award, certified as a Great Place to Work®, and a Best Place for Working Parents®. KODA is a small business focused on solving complex engineering problems on national-priority projects in domains such as missile defense, hypersonics, DOD space, and civil space.

Our expertise spans Radar and Missile Development, Multi-Domain Operations, Flight and Ground Test Planning and Execution, Tactical Data Link Testing, Test Range Instrumentation, Systems Engineering and Integration, Model and Simulation Development, and Digital Engineering/Model-Based Systems Engineering.

The name KODA, a Native American word meaning 'allies', embodies our dedication to our customers and each other. Trust and integrity guide us in all we do. We prioritize our people, support national-priority missions, and give back to our community through the KODA Cares program. We offer competitive compensation, excellent benefits, and a commitment to professional growth. Join us and learn more at www.kodatech.com.

Position Overview:

KODA Technologies is seeking a motivated entry-level Systems Engineer to join our dynamic digital engineering team. This role involves serving as a Model-Based Systems Engineer (MBSE) to support Army aviation systems to deliver comprehensive models that enhance product understanding, improve efficiency, and expedite timelines for both legacy and new aviation systems. 

What You'll Be Doing:

  • Assist in the development and maintenance of SysML/UML models to include major systems and subsystems, software, digital architecture, and requirements and specifications.
  • Help integrate models into system functional models.
  • Support system development to include requirements management, configuration management, data management, risk management, etc.
  • Assist in the development of user guides, training, demonstrations, and other resources to promote the expansion of model-based systems engineering
  • Participate in system requirements reviews and assist in creating and/or updating requirement specifications and qualification models.

What Required Skills You'll Bring:

  • BS Degree in Engineering, Computer Science, or related STEM discipline.
  • 0 - 3 years of related experience or relevant academic/project experience in MBSE, Software, and/or Systems Engineering.
  • Familiarity with SysML concepts and MBSE tools such as Magic Draw/Cameo, Enterprise Architect, Rhapsody, DOORS, etc. (coursework or internship experience acceptable)
  • Basic understanding of system architecture and interfaces, requirements engineering and traceability, and verification and validation concepts.
  • Ability to work effectively in a team-oriented environment.
  • Experience developing and presenting briefings to Government customers.
  • Goal-oriented self-starter with strong analytical and problem-solving skills.
  • Good written and verbal communication skills, with the ability to explain technical ideas to both technical and non-technical audiences.
  • Hybrid Opportunity-Must be able to work in the office at least half-time on Redstone Arsenal.

Clearance:

  • Must be a U.S. Citizen and have an active DoD Secret Clearance, or the ability to get a Clearance

KODA Technologies Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, gender identity, sexual orientation, pregnancy, status as a parent, national origin, disability (physical or mental), family medical history or genetic information, political affiliation, military service, or other non-merit based factors. If you are unable to complete this application due to a disability, contact info@kodatech.com to ask for an accommodation or an alternative application process.

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