Director of Data Center Facilities - AI Infrastructure

About TensorWave

Our mission is simple: deliver seamless, secure, reliable, and resilient AI compute at scale. We've built a versatile cloud platform that eliminates infrastructure barriers, empowering builders to focus on innovation instead of fighting their stack. Because breakthrough AI should move at the speed of ideas, not infrastructure.

About the Role

We’re looking for a Director of Data Center Facilities - AI Infrastructure to join our team during an exciting phase of growth. In this role, you will own the physical infrastructure strategy, operations, reliability, and expansion of a high-density AI data center built to support GPU computing at scale.

You'll make sure the facility can deliver the power, cooling, connectivity, and operational capacity that fast-growing AI compute platforms demand, while leading multidisciplinary facilities teams and partnering closely with Operations, Engineering, Network, Construction, Security, Finance, Procurement, utilities, and technology vendors.

This is a highly visible leadership role for someone with deep experience running mission-critical, high-density environments and a strong grasp of what AI workloads require, including extreme rack densities, liquid cooling, power quality, thermal management, and rapid deployment.and impact.

What You’ll Do

AI Data Center Operations

Provide overall leadership for facilities operations supporting high-density AI/GPU compute environments.

Ensure the facility consistently delivers the required power, cooling, environmental conditions, and infrastructure availability for AI compute clusters.

Establish operational readiness standards for new AI compute deployments, including infrastructure validation, capacity verification, and turnover.

Lead facility response to electrical, mechanical, thermal, controls, and cooling-related incidents.

High-Density Power Infrastructure

Oversee utility service, substations, medium-voltage distribution, transformers, switchgear, UPS systems, generators, busways, PDUs, and rack-level power distribution.

Partner with utilities and engineering teams on utility capacity, grid interconnection, power availability, resiliency, and future expansion.

Evaluate power architectures and redundancy strategies appropriate for AI infrastructure.

Develop long-range power capacity plans aligned with GPU/accelerator deployment schedules.

Advanced Cooling & Thermal Management

Lead the design, operation, and optimization of cooling systems supporting high-density AI compute.

Establish standards for liquid-cooling reliability, leak detection, water quality, filtration, redundancy, and maintenance.

Partner with AI hardware and compute teams to understand evolving thermal requirements for GPUs, accelerators, CPUs, networking equipment, and future-generation platforms.

Evaluate cooling capacity at the rack, row, room, and facility level.

Develop strategies for increasing rack density without compromising thermal performance or reliability.

AI Capacity Planning & Infrastructure Strategy

Develop multi-year facilities capacity plans based on AI compute roadmaps and anticipated GPU/accelerator deployments.

Translate compute requirements into MW, cooling tonnage, rack density, water, space, and infrastructure requirements.

Partner with AI infrastructure and data center engineering teams to establish deployment timelines and facility readiness requirements.

Develop scalable architectures capable of supporting rapid expansion from individual clusters to multi-megawatt AI campuses.

Evaluate emerging infrastructure technologies and determine their suitability for large-scale AI environments.

Participate in site selection, utility strategy, infrastructure due diligence, and campus master planning.

New Construction, Expansion & Commissioning

Lead facilities participation in the design, construction, commissioning, and turnover of new AI data center capacity.

Establish commissioning requirements for electrical, mechanical, controls, liquid-cooling, and life-safety systems.

Review engineering designs, equipment selections, redundancy models, sequence-of-operations documents, and commissioning plans.

Develop standardized infrastructure designs that can be replicated across multiple AI data center sites.

Reliability & Incident Management

Establish a world-class reliability program for AI data center infrastructure.

Lead root-cause analysis for critical facility incidents and implement sustainable corrective actions.

Develop predictive and condition-based maintenance strategies for critical assets.

Establish reliability metrics for power, cooling, controls, and liquid-cooling systems.

Conduct failure-mode analysis and identify potential infrastructure risks before they become operational events.

Lead emergency response and recovery for facility incidents affecting AI compute availability.

Conduct regular scenario-based exercises involving major power failures, cooling failures, loss of utility service, controls failures, and liquid-cooling events.

Automation, Controls & Data

Drive increased use of BMS, EPMS, DCIM, telemetry, analytics, and predictive monitoring across the facility.

Establish real-time visibility into electrical and thermal capacity.

Identify opportunities to automate facility operations while maintaining appropriate safeguards and human oversight.

Team Leadership

Build and lead a high-performing organization of facilities engineers, managers, technicians, and specialized contractors.

Establish organizational structures capable of supporting 24x7 AI data center operations at scale.

Develop technical training programs focused on high-density power, liquid cooling, controls, and AI infrastructure.

Establish succession planning and technical career-development programs.

Foster a culture of operational excellence, safety, urgency, accountability, and continuous improvement.

Financial & Vendor Management

Manage strategic relationships with utilities, OEMs, engineering firms, contractors, cooling providers, and equipment manufacturers.

Establish performance requirements and service-level agreements for critical vendors.

Evaluate lifecycle costs, reliability, availability, maintainability, and scalability when selecting infrastructure technologies.

Identify opportunities to reduce operating costs while maintaining or improving infrastructure reliability.

Safety, Compliance & Risk

Establish a safety-first culture appropriate for high-voltage electrical systems, heavy mechanical equipment, industrial cooling systems, and construction environments.

Develop comprehensive emergency response and business-continuity programs.

Maintain accurate facility documentation, drawings, asset records, operating procedures, and maintenance histories.

Conduct regular infrastructure risk assessments and resilience reviews.

Ensure facilities are prepared for internal, customer, regulatory, insurance, and third-party audits.

Energy & Sustainability

Develop strategies to manage the significant energy demands associated with AI compute.

Optimize PUE, WUE, power utilization, cooling efficiency, and carbon impact.

Partner with utilities and energy teams on renewable energy, energy procurement, demand management, and grid-related initiatives.

Evaluate alternative cooling technologies, heat-reuse opportunities, water-conservation strategies, and other sustainability initiatives.

Balance sustainability objectives with AI compute availability, reliability, and growth requirements.

Who You Are

Required Qualifications

Bachelor's degree in Electrical Engineering, Mechanical Engineering, Facilities Engineering, or a related technical discipline; equivalent experience will be considered.

10+ years of experience in mission-critical data centers, high-density computing environments, critical infrastructure, or comparable faci