ZipRecruiter

Log In

2

Entry Level Intelligent Systems Engineering Jobs

S32

Software Engineer: ML Robotics Systems

Palo Alto, CA · On-site

$203.60K - $241.30K/yr

S32 is a venture capital firm investing at the frontiers of technology, seeking ML Robotics Systems Engineers who are passionate about building intelligent systems. The role involves making a ...

next page

Showing results 1-20

People also search for

All JobsEntry Level Intelligent Systems Engineering Jobs

Entry Level Intelligent Systems Engineering information

See salary details

$40.5K

$86.4K

$142.5K

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:
What are the most commonly searched types of Intelligent Systems Engineering jobs? The most popular types of Intelligent Systems Engineering jobs are:
What states have the most Entry Level Intelligent Systems Engineering jobs? States with the most job openings for Entry Level Intelligent Systems Engineering jobs include:
What job categories do people searching Entry Level Intelligent Systems Engineering jobs look for? The top searched job categories for Entry Level Intelligent Systems Engineering jobs are:
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.
Adjunct Faculty in Intelligent Systems Engineering

Adjunct Faculty in Intelligent Systems Engineering

DePaul

Chicago, IL • On-site

Part-time

This job post has expired today. Applications are no longer accepted.

Job description

Adjunct Faculty in Intelligent Systems Engineering
Full-time Faculty Positions
Full-time faculty positions will be posted on a per-opening basis. Postings are organized by college/school and department. Applicants will be evaluated at the college/school level for the position which they are submitting an application. Unless noted by a close date, positions will remain open until they are filled. Qualified applicants are encouraged to apply.
Part-time Faculty Positions
DePaul University invites expressions of interest for a pool of qualified Part Time Faculty to teach courses in a variety of disciplines across all 10 colleges and schools. Individuals may enter expressions of interest by submitting their credentials to any posting for which they are qualified to teach. Postings are organized by college/school and department. Screening of individuals in the pool is ongoing, depending on curricular need and funding. Individuals will be contacted by the department if they reach the finalist stage for teaching a particular course or set of courses. The pool will remain in place until the closing date specified in the posting details; those interested in remaining in the pool beyond that time must resubmit. All individuals in the pool will be notified by email when the posting is closed.
Below you will find the details for the posting including any supplementary documentation and questions you should review before applying for the opening or submitting your interest in teaching. To apply for the position, please click the Apply for this Job link/button.
Posting Details
Job ID: 47782
College/School: Chicago, IL - Jarvis College of Computing & Digital Media
Position Description:
DePaul's Jarvis College of Computing & Digital Media (CDM) is located in the heart of Chicago's Loop, the central business district of Chicago. Our students represent many different experiences, perspectives, and cultures, and the university strives to recruit and sustain a faculty community where all backgrounds are valued and supported. Part-time teaching positions are available throughout the academic year, including summer sessions. Academic course schedules fluctuate from quarter to quarter, and the college will work with selected individuals to determine a quarterly schedule. Courses are not guaranteed, however the college does its best to give ample notice about available courses. Applicants with expertise that matches course scheduling needs will be contacted for an interview.
The School of Computing (SoC) offers a variety of undergraduate and graduate programs including Computer Science, Artificial Intelligence, Cybersecurity, Data Science, Game Programming, Health Informatics, Human-Computer Interaction, Information Systems, Information Technology, Intelligent Systems Engineering, Network Engineering and Security, and Software Engineering. Find out more about SoC at .
Qualifications:
Minimum requirements include a master's degree in the discipline, or 18 semester/27 quarter hours of graduate work in the discipline, or an undergraduate degree with a minimum of five years of demonstrated relevant professional experience. Exceptions may be considered with approval of the dean.
  • Candidates should have the ability to teach foundational courses in electrical and computer engineering, including, but not limited to, analog and digital circuits, embedded systems, and control systems. A strong background in Intelligent Systems Engineering and related areas is highly desirable.
Application Instructions:
The BS in Cyber-Physical Systems Engineering program prepares students for engineering systems that integrate physical processes, computation, and control. The BS In Cyber-Physical Systems Engineering is a hybrid program between traditional Computer Science, Computer Engineering, and generalist Engineering programs. Just like any engineering program, it has rigorous math and science requirements and a focus on building systems based on theoretical foundations and fundamental engineering design principles. Unlike most engineering programs, it is multi-disciplinary and includes a broad and deep foundation in computer science and software development.
We are looking for instructors with an engineering background who can teach courses on embedded systems, electromagnetism and electronic circuits, signals and signal processing, linear physical systems and feedback control, and/or the design of reliable cyber-physical systems.
Considerations:
Exceptions to standard rates may apply to courses with unique credit hours, supervision, labs, clinical/practicum courses, coaching, administrative tasks, and courses that are either over-enrolled or under-enrolled.
General Compensation/Benefits Statement:
DePaul University has provided a compensation range that represents its good faith estimate of what the University may pay for the position at the time of posting. The salary offered to the selected candidate will be determined based on factors such as (but not limited to) the qualifications, education, experience, and training of the selected candidate, the scope and responsibilities of the position, departmental budget availability, internal salary equity considerations, and available market information.
DePaul University offers a variety of benefit options for qualified part-time employees. Further information regarding benefits can be found here:
About DePaul University's Academic Calendar:
Except for the College of Law, DePaul University operates on a quarter system. Classes in Autumn, Winter, and Spring quarters are 11 weeks in length (including finals week) and Summer courses, in two sessions, are typically 5 weeks in length. The College of Law operates on the semester system. Classes in the Fall and Spring semesters are 16 weeks in length (including finals week) and it offers a Summer Session of 7 weeks (including final exams).
Salary Information: The anticipated hiring rate of this position is between $4,800 and $6,100 per course, commensurate with qualifications and experience.
Applicant Documents
Cover Letter(1)
C.V.(1)

Apply