Graphcore
Technical Services Director, Global Data Center & Lab Infrastructure
Austin, Texas, United States · Director · Full-time · Posted Sep 2, 2026
- Experience
- Significant leadership experience; no specific number of years stated.
- Education
- Bachelor's degree in engineering, computer science, information technology, or another relevant technical discipline, or equivalent practical experience.
About the job
Leads global engineering labs, HPC platforms, and data center infrastructure to provide reliable, secure, cost-effective support for engineering, AI, silicon-development, and validation workloads.
What you'll do
- Lead and develop global technical teams and oversee the reliability, security, safety, and continuous improvement of labs, HPC systems, and facilities.
- Set infrastructure strategy, capacity plans, budgets, procurement, supplier management, and delivery of global infrastructure programs.
- Establish operational standards and controls, manage service performance, and report infrastructure health, risks, capacity, and budgets to executives.
What they ask for
- Significant leadership experience in global technical infrastructure, engineering labs, systems engineering, HPC, IT operations, or data center services.
- Proven record leading geographically distributed technical teams, including managers and senior individual contributors.
- Deep knowledge of HPC and data center environments, including server architecture, Linux-based systems, accelerators, high-speed interconnects, parallel storage, cluster management, workload scheduling, and monitoring.
- Bachelor's degree in a relevant technical discipline, or equivalent practical experience.
Nice to have
- Experience designing, deploying, or operating large-scale HPC clusters or supercomputing platforms.
- Knowledge of GPU-accelerated computing, AI infrastructure, and NVIDIA reference architectures.
Tools
Linux-based systems, NVIDIA reference architectures, Visio, Bluebeam, AutoCAD, ISO 27001, SOC/SSAE, PCI DSS
AI focus
Ensures HPC infrastructure supports AI workloads and includes knowledge of GPU-accelerated computing and AI infrastructure.
Model-written summary · the original posting is authoritative