AI Infrastructure Engineer Intern

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

• Support proposal development and strategic planning activities.
• Research emerging technologies related to AI infrastructure, GPU systems, cloud computing, and automation.
• Support customer discussions, presentations, and infrastructure-related meetings.
• Assist with testing and evaluation of infrastructure tools and technologies.
  
  

Flexible Roles and Responsibilities

• Identify and collaborate with like initiatives at MCNC peer organizations in AI, machine learning, and data infrastructure.
• Support proposal development and strategic planning activities related to quantum infrastructure initiatives.
• Continuous learning and research in advanced networking, GPU computing, and AI operations environments.
  
  

Qualifications And Education Requirements

• Bachelor’s degree in Engineering, Computer Science, Information Technology, Data Science, or related field.
• Basic understanding of AI infrastructure, cloud platforms, and enterprise computing environments.
• Familiarity with cloud technologies, virtualization, or container platforms is preferred.
• Exposure to GPU systems, AI platforms, or Kubernetes environments is preferred.
• Experience with programming or scripting languages such as Python, Bash, or SQL is preferred.
• Strong analytical, troubleshooting, and communication skills.
• Ability to work collaboratively across technical and operational teams.
• This role operates on a hybrid work model and may require work from MCNC offices.
• Background and pre-employment screening requirements apply in accordance with MCNC policies.
  
  

Preferred Qualifications/Specialties

• Interest in AI infrastructure, cloud systems, and research computing environments.
• Exposure to AI, machine learning, or data infrastructure projects.
• Familiarity with infrastructure monitoring or cloud management tools.
• 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.