Senior Director, HPC Deployment

🔥 13 hours ago

🤠 Texas – Remote

🤠 Texas – Remote

⏰ Full Time

🟠 Senior

👔 Director

👻 Ghost score 10%

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IREN

WebsiteLinkedInAll Job Openings

201 - 500 employees

🤖 Artificial Intelligence

🤝 B2B

⚡ Energy

Artificial Intelligence • B2B • Energy

IREN is a provider of purpose-built, high-performance AI data centers and GPU cloud services across North America. IREN develops, owns and operates large, power-dense facilities designed for demanding AI training and inference workloads, offering turnkey data centers, colocations for customer hardware, and managed GPU cloud access. The company emphasizes vertical integration, 24/7 onsite support, and powering its facilities with 100% renewable energy (including RECs). IREN currently lists six North American locations (including Sweetwater, Childress, Oklahoma, Prince George, Mackenzie, and Canal Flats), with secured power capacity of about 5 GW, several hundred to thousands of MW per site in operational, under-construction, and in-development stages, and roughly 4,900 acres of secured land for AI infrastructure.

📋 Description

• Own end-to-end execution of large-scale GPU/HPC cluster deployments from deployment readiness through physical installation, network and compute bring-up, provisioning, QA/QC, cluster integration, validation, burn-in, production acceptance, and operational handoff. • Build an organization capable of executing many deployments simultaneously while maintaining consistent engineering and quality standards. • Execute approved engineering packages according to reference architecture, bills of materials, topologies, rack and cabling standards, network configurations, firmware and software versions, provisioning workflows, QA/QC requirements, validation procedures, and production acceptance criteria. • Own delivery against committed GPU capacity dates by establishing deployment plans, milestones, critical paths, dependencies, site-readiness criteria, and delivery forecasts. • Identify risks and drive mitigation and recovery plans across data center, supply chain, networking, compute, storage, software, vendors, and operations. • Own QA/QC throughout the scaled deployment lifecycle, tracking first-pass yield, defects, rework, quality escapes, and production acceptance. • Build a standardized deployment factory across locations, improving throughput, cycle time, first-pass quality, predictability, automation, and repeatability. • Drive an automation-first model covering readiness checks, hardware discovery, network configuration, firmware and BIOS validation, bare-metal provisioning, cluster configuration, connectivity validation, GPU health checks, performance testing, QA/QC, burn-in, and production acceptance. • Create feedback loops from scaled deployment into NPI and engineering by capturing defects, documentation and automation gaps, hardware-quality issues, vendor issues, performance anomalies, and bottlenecks. • Ensure delivered clusters satisfy engineering, quality, performance, reliability, and operational acceptance criteria and are stable, observable, supportable, and ready for production workloads. • Build and lead a large multidisciplinary organization spanning HPC/GPU deployment, network deployment, cluster integration, systems engineering, infrastructure automation, QA/QC, validation engineering, site leadership, and technical program management.

🎯 Requirements

• 15+ years of experience in infrastructure, HPC, cloud, networking, data center, or large-scale distributed systems, including 8+ years leading large technical organizations. • Demonstrated experience executing multiple complex infrastructure deployments concurrently and delivering against aggressive capacity commitments. • Strong operational discipline around schedule, quality, metrics, risk management, forecasting, and cross-functional execution. • Strong understanding of GPU-based computing infrastructure and high-performance networking, including InfiniBand and/or Ethernet/RoCE. • Experience establishing or operating QA/QC, commissioning, validation, burn-in, and production acceptance processes at scale. • Experience building repeatable deployment processes, automation, standardized operating models, and global or multi-site delivery capabilities. • Must be authorized to work in the United States.

🏖️ Benefits

• Total Compensation package includes annual incentive bonus, equity (long-term incentive) • 100% company paid health insurance premiums (medical, dental, and vision) for employees, 75% company paid coverage for dependents • Company-paid short-term and long-term disability insurance • Voluntary life, critical illness, and accident coverage available • Health Savings Accounts (HSA) – when combined with the High Deductible Health Plan • Employee Assistance Program and wellness resources • 401(k) retirement plan with company match • Access to financial planning and legal services • Paid Time Off (PTO) and paid holidays • Internal skills training and advancement pathways • Professional development to support certifications, continuing education, or role related training • Company events and team-building activities

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