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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Director of Data Center Facilities - AI Infrastructure - **Company:** TensorWave Inc. - **Location:** Las Vegas, NV, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Analysis, Data Centers, Data Center Infrastructure Management (CIM), Microprocessors, General-Purpose Computing on Graphics Processing Units, Networking Hardware, Reliability Engineering, AI Infrastructure, Graphics Processing Unit (GPU), Hardware Acceleration - **Published:** September 30, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=e2254732f0f1bbbe ## About the Role * 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 facilities. * 5+ years of experience leading large technical facilities organizations. * Demonstrated experience managing large-scale electrical and mechanical infrastructure. * Strong understanding of high-density data center power architectures and cooling systems. * Experience supporting or operating facilities with high rack power densities and rapidly scaling compute infrastructure. * Experience with mission-critical maintenance, reliability engineering, incident management, and operational readiness. * Demonstrated experience managing significant operating and capital budgets. * Strong understanding of infrastructure capacity planning and facility expansion. * Excellent executive ## Description 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. ## Related Videos - [AI Factories at Scale](https://www.wearedevelopers.com/videos/1139-ai-factories-at-scale) - [The Sustainability Race: AI's Promises, Pitfalls and Potential](https://www.wearedevelopers.com/videos/100155-the-sustainability-race-ai-s-promises-pitfalls-and-potential) - [On developing smartphones on wheels](https://www.wearedevelopers.com/videos/258-on-developing-smartphones-on-wheels) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Building the Nervous System of AI - Michael Kagan (NVIDIA)](https://www.wearedevelopers.com/videos/2133-building-the-nervous-system-of-ai-michael-kagan-nvidia) - [Data Science on Software Data](https://www.wearedevelopers.com/videos/162-data-science-on-software-data) ## Related Articles - [Best US AI Conferences for CTOs in 2026: Build vs. Buy, Vendor Evaluation, and Peer Intelligence](https://www.wearedevelopers.com/magazine/736-best-us-ai-conferences-for-ctos-in-2026-build-vs-buy-vendor-evaluation-and-peer-intelligence) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)