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Graphcore

Delivers IPU-powered AI cloud services

Technical Services Director

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeAustin, TX, USANo salary listed

About the Job

Requirements

  • Significant leadership experience in global technical infrastructure, engineering labs, systems engineering, high-performance computing, information technology operations, or data center services.
  • Proven success leading and developing geographically distributed technical teams, including managers and senior individual contributors.
  • Deep knowledge of high-performance computing and data center environments, including server architecture, Linux-based systems, accelerators, high-speed interconnects, parallel storage, cluster management, workload scheduling, and monitoring.
  • Experience supporting semiconductor development, silicon bring-up, hardware validation, systems engineering, or similarly complex engineering environments.
  • A record of developing and executing multi-site infrastructure strategy, capacity plans, lifecycle programs, and operating models aligned with engineering and business priorities.
  • Experience operating business-critical compute and lab infrastructure with clear expectations for availability, performance, security, safety, and support.
  • Experience leading complex cross-functional programs involving Engineering, Facilities, Information Technology, Finance, Security, Supply Chain, and third-party vendors.
  • Strong procurement and commercial experience, including requirements, supplier evaluation, contract negotiation, purchase-order processes, logistics, and delivery management.
  • Experience developing global budgets, cost models, forecasts, investment proposals, and lifecycle plans for technical infrastructure.
  • Working knowledge of rack integration, structured cabling, power, cooling, physical security, capacity management, operational controls, and relevant compliance frameworks.
  • Strong strategic, analytical, problem-solving, and communication skills, including the ability to influence senior leaders and explain complex issues to technical and nontechnical stakeholders.
  • Ability and willingness to work onsite in Austin and travel internationally as required.
  • A bachelor's degree in engineering, computer science, information technology, or another relevant technical discipline, or equivalent practical experience.

Responsibilities

  • Lead, recruit, mentor, and develop the systems administration, lab operations, and technical services teams responsible for the facility supporting global Engineering and Research and Development.
  • Own the reliability, efficiency, protection, safety, supportability, and continuous improvement of engineering labs, high-performance computing systems, and infrastructure facilities.
  • Establish service levels, operating standards, escalation paths, performance measures, monitoring, observability, automation, ticketing, and configuration-management practices.
  • Translate engineering and customer requirements into infrastructure roadmaps, capacity plans, procurement strategies, operating models, and executable investment programs.
  • Forecast compute, accelerator, storage, network, rack-space, power, cooling, and technical-support requirements across the infrastructure portfolio.
  • Lead global infrastructure programs from requirements and business-case development through procurement, deployment, operational readiness, service handoff, expansion, refresh, and decommissioning.
  • Own infrastructure procurement and supplier performance, including specifications, bills of materials, quotations, commercial negotiations, purchase orders, logistics, delivery schedules, and deployment coordination.
  • Develop and lead operating budgets, capital plans, expense frameworks, projections, lifecycle plans, and investment proposals for infrastructure operations and growth.
  • Build strategic relationships with hardware vendors, colocation providers, integrators, maintenance partners, and other technical service suppliers.
  • Ensure high-performance computing environments are efficiently utilized, maintained, and capable of supporting large-scale engineering, artificial intelligence, simulation, and hardware-validation workloads.
  • Maintain appropriate security, safety, operational, and compliance controls; support reviews involving frameworks such as ISO 27001, SOC/SSAE, and PCI DSS where applicable.
  • Engage internal and external customers on infrastructure capabilities, requirements, service delivery, resilience, security, and compliance.
  • Provide concise executive reporting on infrastructure health, capacity, risks, budgets, supplier performance, service quality, and coordination of programs.

Desired Qualifications

  • Experience designing, deploying, or operating large-scale high-performance computing clusters or supercomputing platforms.
  • Knowledge of GPU-accelerated computing, artificial intelligence infrastructure, and NVIDIA reference architectures.
  • Experience with cluster schedulers, high-performance storage, high-speed networking, and infrastructure automation technologies.
  • Experience developing a global lab strategy or managing lab and data center operations across multiple countries, including the United States, United Kingdom, or India.
  • Experience operating colocation facilities and managing third-party data center providers.
  • Knowledge of data center power distribution, cooling systems, environmental monitoring, and capacity engineering.
  • ITIL, program-management, or project-management certification, or equivalent practical experience implementing service-management and delivery frameworks.
  • Experience with Visio, Bluebeam, AutoCAD, or other infrastructure design and drafting tools.

About the Company

Graphcore

Delivers IPU-powered AI cloud services

Graphcore.ai focuses on building and delivering Intelligence Processing Units (IPUs) and related AI services for enterprises. It provides IPU-powered cloud services, pre-trained AI models, optimized inference engines, and APIs on a subscription basis with on-demand pricing and free tiers through cloud partners. The IPUs accelerate AI workloads and enable scalable, cost-efficient AI deployment in enterprise applications. The company differentiates itself through specialized IPU hardware and optimized software stack, plus partnerships with cloud providers to reach customers, rather than relying on generic hardware. The goal is to help businesses scale AI-powered products and operations efficiently by offering flexible, scalable compute and ready-to-use AI components.

Company size
501-1,000
Company stage
Growth Equity (Non-Venture Capital)
Total funding
$1.1B
Headquarters
Bristol, United Kingdom
Founded
2016

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