Director of AI data center operations in HPC

We are seeking an experienced, forward-thinking Director of AI Data Center Operations to oversee our 5MW high-density compute footprint. Unlike traditional mega-scale facilities, this position is designed for an agile engineering leader who can manage a cutting-edge, ultra-dense deployment focused purely on Enterprise AI workloads (large language model fine-tuning, high-throughput inference, and advanced multi-node HPC clustering).

• Oversee the operation and maintenance of direct-to-chip (DLC) liquid cooling loops, Coolant Distribution Units (CDUs), and localized liquid-to-air secondary heat exchangers in a dense environment
• Optimize active power distribution at the rack level, managing ultra-dense power envelopes ranging from 60kW to 100kW+ per rack 60-140across our 5MW footprint
• Drive continuous physical optimization to lower Power Usage Effectiveness (PUE) and achieve carbon neutrality and environmental sustainability metrics
• Act as primary liaison to wholesale colocation partners, holding suppliers strictly accountable to power, cooling, physical security, and infrastructure uptime SLAs
• Direct the logistics, installation, staging, provisioning, and decommissioning of advanced AI hardware systems (including NVIDIA DGX/Blackwell/Hopper, Ver Rubin)
• Collaborate closely with Network Architecture teams to ensure high-bandwidth, ultra-low-latency backend topologies (InfiniBand, RoCEv2) are perfectly integrated and structurally protected
• Implement and maintain centralized environmental telemetry pipelines that connect physical variables (coolant flow rates, pressure, ambient temperature) with software schedulers (Slurm, Kubernetes)

• 7+ years of direct experience in data center operations, high-performance computing (HPC), or critical facilities engineering, with at least 3 years in a direct leadership or managerial capacity
• Deep technical understanding of direct-to-chip liquid cooling loops, Coolant Distribution Units, rear-door heat exchangers (RDHx), and general facility MEP (Mechanical, Electrical, Plumbing) designs
• Direct experience deploying and maintaining high-power density compute environments (NVIDIA HGX/DGX, advanced liquid-cooled chassis, or specialized OEM architectures)
• Proven experience negotiating and managing SLAs, Master Service Agreements (MSAs), and joint operating procedures inside high-tier commercial colocation facilities
• Bachelor's degree in Mechanical Engineering, Electrical Engineering, Computer Science, or equivalent technical discipline / equivalent practical experience
• Experience guiding active environments through transitioning from legacy air cooling to hybrid air-and-liquid or 100% direct-to-chip liquid-cooled architectures
• Functional knowledge of container orchestrators (Kubernetes) and AI training scheduling architectures (Slurm)
• Established, active relationships with key component providers (CDU vendors, quick-disconnect suppliers) and server OEMs

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