Data Center AI Intern

Johnson Controls•Glendale, AZ

5d•Hybrid

About The Position

Build your best future with the Johnson Controls Team: As a global leader in smart, healthy and sustainable buildings, our mission is to reimagine the performance of buildings to serve people, places and the planet. As a member of the Johnson Controls Future Leaders Internship Program, you will learn to use your valuable skill set, knowledge, and passion to excel in a dynamic and competitive global environment. Our Internship Program is a unique opportunity to put classroom theory into practice while bolstering your resume and professional network. By joining a program that is rooted in community, connection, and memorable experiences, you will have an opportunity to transform your future. We are proud to share that our Intern Program has been recognized by Yello x WayUp as one of the Top 100 Internship Programs in the United States for 2025. Join hundreds of interns nationwide for a summer of learning, growth, and connection, including: Innovation Challenge Volunteering opportunities Executive engagement Development + career workshops Inclusive and diverse environment with in-person and/or hybrid work options Comprehensive benefits package including 401(k), Medical, Dental, and Vision. Johnson Controls is building next‑generation IT/OT integration capabilities through our industry‑leading controls platform, with a growing focus on AI‑enabled, GPU‑based data center infrastructure. We are seeking a Data Center AI Intern at the graduate or PhD level to support the understanding, analysis, and application of performance and operational metrics from AI hardware nodes used in modern data centers. In this role, you will contribute to efforts that connect AI compute infrastructure with building systems, controls, and operational intelligence, helping enable smarter, more efficient, and more reliable data center operations.

Requirements

Currently enrolled in or recently admitted to a graduate or PhD program at an accredited university
Academic focus in Computer Engineering, Electrical Engineering, Computer Science, Data Science, or a related technical field
Foundational understanding of AI workloads, GPUs, or high‑performance computing systems
Interest in data center infrastructure, systems integration, or industrial/controls environments
Strong analytical and problem‑solving skills
Ability to communicate technical concepts clearly to diverse audiences
Legal authorization to work in the United States

Nice To Haves

Experience or coursework related to GPU architectures, AI/ML infrastructure, or high‑performance computing
Familiarity with data center operations, monitoring, or telemetry systems
Exposure to IT/OT integration concepts, building management systems, or industrial controls
Programming or scripting experience used for data analysis, system monitoring, or automation
Demonstrated ability to work independently in a research‑oriented or technical environment

Responsibilities

Analyze and interpret operational, performance, and health metrics from GPU‑based AI hardware nodes within data center environments
Support the integration of IT system data (AI compute, GPUs, servers) with OT systems through the Johnson Controls controls platform
Assist in identifying key metrics relevant to performance, energy efficiency, reliability, and uptime for AI‑driven data center workloads
Collaborate with cross‑functional engineering, controls, and digital teams to translate hardware‑level data into actionable insights
Contribute to documentation, analysis summaries, and technical insights that inform platform development and integration strategies
Participate in technical discussions related to AI infrastructure monitoring, telemetry, and system interoperability