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Intern Entry Level Ai Engineer Jobs in Raleigh, NC

MCNC

AI Infrastructure Engineer Intern

Durham, NC · On-site

Job Summary The AI Infrastructure Engineer Intern will support MCNC AI infrastructure initiatives involving GPU systems, cloud environments, and advanced computing platforms used for artificial ...

Norstella

Software Engineer Intern

Raleigh, NC · Remote

Software Engineer Intern Company: Norstella Location: Remote, United States Date Posted: May 5, ... Norstella's investments in AI are transforming how data is consumed and decisions are made ...

Norstella

DevOps Engineer Intern

Raleigh, NC · On-site +1

... Engineer Intern Company: Norstella Location: Remote, United States Date Posted: May 5, 2026 ... Norstella is a premier and critical global life sciences data and AI solutions provider dedicated ...

SynergisticIT

ML/AI Engineer (JUNIOR)

Raleigh, NC · On-site

See How Our Candidates Broke Into Tech--You Could Be Next Explore Real Success Stories & Placement Outcomes Open Roles We're Hiring For: * Entry-Level Software Programmers (Java/Python) * Java Full ...

Nasuni

Customer Support Operations Intern

Cary, NC · Hybrid

$14.25 - $18.50/hr

Support the team in identifying opportunities to leverage AI tools for documentation, summarization ... In this role, you'll collaborate with experienced support and engineering professionals, gaining ...

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As of May 28, 2026, the average hourly pay for intern entry level ai engineer in Raleigh, NC is $18.78, according to ZipRecruiter salary data. Most workers in this role earn between $15.67 and $20.34 per hour, depending on experience, location, and employer.
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AI Infrastructure Engineer Intern

AI Infrastructure Engineer Intern

MCNC

Durham, NC • On-site

Internship

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

Job description

Job Summary
The AI Infrastructure Engineer Intern will support MCNC AI infrastructure initiatives involving GPU systems, cloud environments, and advanced computing platforms used for artificial intelligence and machine learning workloads. The role will assist with infrastructure research, operational support, pilot projects, and documentation activities related to AI infrastructure environments.
The intern will work with MCNC team members, technology partners, and customers to support infrastructure planning, AI platform initiatives, and emerging cloud technologies. This role provides exposure to AI operations, infrastructure management, research computing environments, and enterprise cloud systems
Key Roles and Responsibilities
  1. Support proposal development and strategic planning activities.
  2. Research emerging technologies related to AI infrastructure, GPU systems, cloud computing, and automation.
  3. Support customer discussions, presentations, and infrastructure-related meetings.
  4. Assist with testing and evaluation of infrastructure tools and technologies.
Flexible Roles and Responsibilities
  1. Identify and collaborate with like initiatives at MCNC peer organizations in AI, machine learning, and data infrastructure.
  2. Support proposal development and strategic planning activities related to quantum infrastructure initiatives.
  3. Continuous learning and research in advanced networking, GPU computing, and AI operations environments.
Qualifications and Education Requirements
  1. Bachelor's degree in Engineering, Computer Science, Information Technology, Data Science, or related field.
  2. Basic understanding of AI infrastructure, cloud platforms, and enterprise computing environments.
  3. Familiarity with cloud technologies, virtualization, or container platforms is preferred.
  4. Exposure to GPU systems, AI platforms, or Kubernetes environments is preferred.
  5. Experience with programming or scripting languages such as Python, Bash, or SQL is preferred.
  6. Strong analytical, troubleshooting, and communication skills.
  7. Ability to work collaboratively across technical and operational teams.
  8. This role operates on a hybrid work model and may require work from MCNC offices.
  9. Background and pre-employment screening requirements apply in accordance with MCNC policies.

Preferred Qualifications/Specialties
  1. Interest in AI infrastructure, cloud systems, and research computing environments.
  2. Exposure to AI, machine learning, or data infrastructure projects.
  3. Familiarity with infrastructure monitoring or cloud management tools.
  4. Interest in advanced networking, GPU computing, or AI operations environments.

Disclaimer: The above statements are intended to describe the general nature and level of work performed by employees assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties and skills required of personnel so classified.
MCNC is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status or any other characteristic protected by law.

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