AI System Engineer - Data Centers

About Johnson Controls

Johnson Controls, a global leader in thermal management, mission-critical building systems, energy efficiency, and decarbonization, helps customers use energy more productively, reduce carbon emissions, and operate with the precision and resilience required in rapidly expanding industries such as data centers, healthcare, pharmaceuticals, advanced manufacturing, and higher education.

For more than 140 years, Johnson Controls has delivered performance where it really matters. Backed by advanced technology, lifecycle services and an industry-leading field organization, we elevate customer performance, turn goals into real-world results and help move society forward.

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Johnson Controls’ Data Center Thermal Solutions team is seeking an AI Systems Engineer - Data Centers - for the Advanced Technology & Innovation group. The role focuses on developing, validating, and deploying liquid cooling solutions, including direct-to-chip, immersion, and hybrid systems for hyperscale, colocation, and AI/HPC data centers. The ideal candidate will be highly self-driven, able to work independently with limited supervision, and bring strong knowledge of GPU-based AI hardware and its cooling and power variations across diverse AI workloads. This position is remote based.

How you will do it

• Design, analyze, and deploy liquid cooling systems (single-phase, two-phase, immersion, and hybrid) for high-density data centers.
• Perform thermal modeling, CFD simulations, and performance optimization for CPU and GPU workloads.
• Commission and validate CDUs, cold plates, immersion tanks, and thermal test vehicles at lab and facility scale.
• Evaluate system resiliency and reliability under operational and failure scenarios.
• Collaborate with hyperscalers, OEMs, and partners to align solutions with AI/HPC workload demands.
• Contribute to patent filings, publications, and industry standards engagement.

What you will do
Required

• PhD or Master’s in Mechanical Engineering or related field.
• Proven data center cooling experience, particularly in GPU/AI hardware environments.
• Strong knowledge of heat transfer, fluid mechanics, and thermodynamics.
• Proficiency in CFD tools (ANSYS, Fluent, Modelica, Icepak, Cadence 6Sigma) and instrumentation for performance validation.
• Demonstrated ability to work independently, set priorities, and deliver results with minimal supervision.
• Track record of innovation, patents, or technical publications in thermal management.