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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.

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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$40.5K

$86.4K

$142.5K

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

As of Jun 19, 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.

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 is an intelligent systems engineering salary?

Entry-level intelligent systems engineering salaries typically range from $70,000 to $90,000 annually, depending on location, education, and industry. Professionals in this field often work with programming, robotics, and AI tools, with higher salaries available as experience and certifications increase.

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 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 engineer makes $500,000 a year?

While most entry-level intelligent systems engineering roles do not pay $500,000 annually, senior engineers with extensive experience, specialized skills in AI, machine learning, or robotics, and leadership responsibilities can reach or exceed this level through bonuses, stock options, and profit sharing. Such compensation is typically found in high-level positions at large tech companies or startups with significant funding.

What engineers make $300,000 a year?

Highly experienced engineers in specialized fields such as software engineering, data engineering, or systems engineering can reach or exceed $300,000 annually, especially in senior or leadership roles. These positions often require advanced skills, certifications, and extensive industry experience, and may involve working in high-demand sectors like technology, finance, or defense.

Are there any entry-level AI jobs?

Entry-level AI jobs are available in roles such as AI analyst, machine learning technician, or data analyst, often requiring foundational knowledge of programming languages like Python and familiarity with AI tools and frameworks. These positions typically require a bachelor's degree in computer science, engineering, or related fields and may involve internships or training programs for beginners.
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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 June 2026, with employment types broken down into 1% Locum Tenens, 77% Full Time, 12% Part Time, 9% Contract, and 1% Nights. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $86,381 per year, or $41.5 per hour.

Postdoctoral Fellow in Quantum Materials and Devices - Deng Research Group

Indiana University Academic Positions

Bloomington, IN

$45K - $61K/yr

Other

Posted 12 days ago

Job description

Position Details
Title Postdoctoral Fellow in Quantum Materials and Devices - Deng Research Group Appointment Status Non-Tenure Track Department IU Bloomington Intelligent Systems Engineering Location Bloomington Position Summary
Indiana University, Bloomington
Luddy School of Informatics, Computing, and Engineering
Department of Intelligent Systems Engineering
Postdoctoral Fellow in Quantum Materials and Devices - Deng Research Group
Prof. Bingchen Deng (https://luddy.indiana.edu/contact/profile/index.html?bingchen_deng) in the Department of Intelligent Systems Engineering at Indiana University Bloomington invites applications for a postdoctoral position focused on investigating emerging physical phenomena in low-dimensional quantum materials and leverage them in device applications. The candidates should be familiar with quantum physics and solid-state physics/devices and should have extensive hands-on experimental experience in one of the following fields: condensed matter physics, electrical engineering, or materials science. Prior experience in nanodevice fabrication and electrical/optical measurements is preferred but not required. The position is available immediately.
Our research explores fundamental science of low-dimensional quantum materials and their applications in microelectronic and optoelectronic devices. We study quantum confinement, light-matter interactions, topology, and strongly correlated electrons in a wide range of low-dimensional materials using nanofabricated devices and electrical and optical measurements. These efforts aim to uncover new physical phenomena and translate them into applications in semiconductor industry, quantum technologies, optical sensing, and so on.
We are committed to providing a supportive and collaborative environment for all group members to conduct innovative and independent research. The postdoctoral fellow will receive regular feedback and guidance through group meetings and individual meetings and will develop key technical and professional skills that are valuable for careers in academia or industry.

Appointment Type: Full-time non-tenure track appointment.
Salary: We offer a competitive salary commensurate with experience, plus generous benefits.
Basic Qualifications
  • Ph.D. in one of the following or related fields by the time of the appointment: Physics, Electrical Engineering, Materials Science and Engineering.
  • Hands-on experimental experience with solid-state device/materials.
  • Proficiency in data processing software such as Origin, JMP, Mathematica, MATLAB.
  • Good communication skills including oral and written.
  • Strong work ethics, motivations, and problem-solving capabilities.

Department Contact for Questions
Questions may be sent to: Dr. Bingchen Deng (bingdeng@iu.edu)
Additional Qualifications
Experience in one or more of the following is preferred:
  • 2D materials processing (exfoliation, synthesis, transfer, etc.)
  • Nanodevice fabrication in cleanroom environment (EBL, metallization, dry etching, ALD, etc.)
  • Electrical transport measurements at low temperatures
  • Optical spectroscopic measurements
  • Materials characterizations (AFM, SEM, TEM, Raman, etc.)
Salary and Rank Special Instructions
Applications received by March 1, 2026 will receive full consideration. However, we will continue accepting applications until the position is filled.
Interested candidates should review the application requirements and apply online at:
https://indiana.peopleadmin.com/postings/32145
We will continue accepting applications until the position is filled.
Application Materials:
1. Cover letter
2. CV
3. Contact information for three professional references


For Best Consideration Date 03/01/2026 Expected Start Date 04/01/2026 Posting Number IU-101490-2026

Apply