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Internship Intelligent Systems Engineering Jobs in Tennessee

Pwc

GenAI Python Systems Engineer-Manager

Nashville, TN

$99K - $232K/yr

... intelligent decision-making and automation. Enhancing your leadership style, you motivate, develop ... The Opportunity As part of the Data and Analytics Engineering team, you lead the development and ...

Creative Artists Agency (CAA)

AI - Data Engineer

Nashville, TN · On-site

$110K - $132K/yr

In this role, you will design and build intelligent systems that transform complex information into ... The ideal candidate combines strong software engineering fundamentals with hands on experience ...

omnia

Head of Engineering

Franklin, TN

... and intelligent digital platforms that enable business growth. The right candidate has a proven ... Deep background in enterprise platform ecosystems, system integration, and vendor governance ...

Oracle

Principal Software Engineer

Nashville, TN

$130K - $174K/yr

This role focuses on rapidly building intelligent systems, internal platforms, operational tooling, and cloud native services using modern AI driven engineering practices. You will work across ...

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Internship Intelligent Systems Engineering information

What is an intelligent systems engineering salary?

The salary for an internship in intelligent systems engineering typically ranges from $15 to $30 per hour, depending on the location, company, and level of education. Interns often work with skills in programming, machine learning, and robotics, and may receive additional benefits such as mentorship and training opportunities.

How much do AI engineer interns get paid?

AI engineer interns typically earn between $15 and $30 per hour, depending on the company, location, and level of experience. Internships often include opportunities to work with machine learning frameworks and programming languages like Python or TensorFlow.

What is the difference between Internship Intelligent Systems Engineering vs Internship Robotics Engineering?

AspectInternship Intelligent Systems EngineeringInternship Robotics Engineering
Required CredentialsRelevant coursework, basic programming skills, possibly some certifications in AI or systemsSimilar credentials, with additional focus on mechanical design and embedded systems
Work EnvironmentSoftware development, data analysis, AI model training in tech or research labsHardware assembly, testing, and programming in robotics labs or manufacturing settings
Employer & Industry UsageTech companies, research institutions, AI startupsManufacturers, automation firms, robotics startups

Internship Intelligent Systems Engineering and Internship Robotics Engineering share overlapping skills in programming and technical knowledge. However, Intelligent Systems internships focus more on AI, data analysis, and software development, while Robotics Engineering internships emphasize hardware, mechanical systems, and embedded programming. Both roles prepare interns for careers in high-tech industries, but their core focus areas differ based on the nature of the work environment and industry applications.

What do intelligent system engineers do?

Intelligent system engineers design, develop, and implement systems that incorporate artificial intelligence, machine learning, and data analysis to solve complex problems. They work with algorithms, programming languages, and tools like Python or MATLAB, often collaborating with cross-disciplinary teams to create autonomous or adaptive systems.

What engineer makes $500,000 a year?

Highly experienced engineers in specialized fields such as software engineering, data science, or systems engineering can earn $500,000 or more annually, often through senior roles, bonuses, or stock options. These positions typically require advanced skills, extensive experience, and sometimes leadership responsibilities in high-demand industries.
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Internship Intelligent Systems Engineering jobs near you
Computer Science and Information Technology - Adjunct Instructor/Faculty

Computer Science and Information Technology - Adjunct Instructor/Faculty

SOUTH COLLEGE

Knoxville, TN • On-site

Full-time

Re-posted 27 days ago

Job description

Description:

Computer Science and Information Technology - Adjunct - Hybrid


South College - We are one of the nation’s fastest growing institutions of higher learning … come grow your career with us. In order to fully meet our Mission to our students, we require a diverse combination of perspectives, backgrounds, life experiences, and ideas from our faculty and staff and will provide them with an equitable and inclusive work environment -where respect and open interchange of ideas are at the heart of that culture.


20,000 Students

10 Campuses

Competency Based Education

Online


Computer Science and Information Technology Adjunct Faculty Description

South College's Online Campus continues to be one of the fastest growing in the country and is looking for capable, successful, and excited instructors to help us produce great student outcomes! We are searching for a Hybrid Computer Science and Information Technology Adjunct to join the team.


This position is hybrid remote. This role requires for the chosen candidate to be present at our Knoxville Campus in Knoxville, TN at least one day a week for in person courses. The remaining role requirements can be completed remotely.


Specific course needs are as follows:

  • Software Development & Programming: Object-Oriented Programming, Programming in Java, Mobile App Development, Website Design/App for IT, Advanced Web Design, Secure Software Design.
  • Cybersecurity & Networking: Advanced Cybersecurity, Network Security, Networks and Telecommunications, Wireless Networks, Network Planning & Maintenance.
  • Data Science & Intelligent Systems: Data Mining, Applied Artificial Intelligence, Computer Vision and Sensors, Decision Networks and Graphs.
  • Systems & Architecture: Computer Architecture, Systems Analysis and Design, Information Systems Design (Capstone), and Optimization of Hardware–Software Integration.
  • User Experience & Interface Design: User Experience (UX) and User Interface (UI) Design, Human–Computer Interaction, Usability Testing, and Interactive Prototyping focused on enhancing accessibility and engagement.
Requirements:

Education

Candidates must evidence the following:

  • A minimum of an acceptable master’s degree in the specific subject matter field (doctorate preferred) for undergraduate courses and an earned doctoral degree and satisfactory completion of 18 graduate semester hours in subject matter field for graduate courses

Experience

  • Experience teaching similar courses at a higher education institute.
  • Preference will be given for candidates with experience teaching online.