AI Infrastructure Engineer Intern at MCNC in DURHAM, NC

Summary: MCNC is focused on AI infrastructure initiatives, and they are seeking an AI Infrastructure Engineer Intern to support these efforts. The role involves assisting with infrastructure research, operational support, and documentation activities related to AI infrastructure environments. 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 - 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 Required Qualifications: - 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 - 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: - Familiarity with cloud technologies, virtualization, or container platforms - Exposure to GPU systems, AI platforms, or Kubernetes environments - Experience with programming or scripting languages such as Python, Bash, or SQL - 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 Required Skills: AI infrastructure, Cloud platforms, GPU systems, Kubernetes, Python, Bash, SQL, Virtualization