Senior Director, HPC Deployment

IREN

. 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.

Posted 11/3/2026full-timeRemote • Texas • United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive expertise in executing large-scale GPU/HPC cluster deployments, ensuring adherence to quality and operational standards while leading multidisciplinary teams. Proficient in risk management, automation, and establishing repeatable deployment processes across multiple sites.

Highest-signal resume keywords

GPU-Based Computing InfrastructureHPC DeploymentQA/QC ProcessesInfrastructure AutomationRisk Management

ATS Keywords

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Hard Skills

Large-Scale Distributed SystemsNetwork ConfigurationCluster IntegrationPerformance TestingBurn-In ProceduresValidation EngineeringDeployment PlanningCapacity ForecastingOperational Acceptance CriteriaTechnical Program Management

Soft Skills

LeadershipCross-Functional ExecutionOperational DisciplineRisk MitigationCommunication

Tools & Technologies

InfiniBandEthernet/RoCEAutomation ToolsProvisioning WorkflowsMonitoring Systems

Industry Keywords

Data CenterCloud ComputingNetworkingQuality AssuranceCommissioning

Tech Stack

Tools & technologies

CloudDistributed Systems

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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