Senior HPC Systems Lead for AI & Visual Computing

Corehr; Oxford; On-site; GBP 49,000 - 55,000; Full time

Job summary

University of Oxford, Department of Engineering Science, seeks a Senior HPC Systems Administrator for the Visual Geometry Group (VGG). The role leads design, deployment and optimisation of large-scale HPC, GPU clusters, storage, and networking to support AI and vision research.

You will manage Linux compute/storage environments, implement automation, collaborate with researchers, and help evolve technology across the department. Excellent communication and independence are essential.

Qualifications

• Degree in Computer Science, Engineering or related discipline.
• Extensive HPC infrastructure experience in research or technical settings.
• Experience with GPU servers and high‑performance networking.
• Scripting/automation with Bash and Python.
• Experience with SLURM or other job schedulers.
• Familiarity with cloud platforms.
• Knowledge of BeeGFS or Lustre file systems.

Responsibilities

• Design, build, and maintain HPC clusters and infrastructure.
• Manage Linux compute and storage environments.
• Support GPU-enabled research computing systems.
• Maintain high‑performance storage and backups.
• Monitor performance, security, and availability.
• Mentor researchers and postgraduate students.
• Develop documentation and best practices.
• Collaborate with IT teams and researchers.
• Evaluate and deploy new technologies.

Skills

HPC systems

Linux admin

GPU computing

Scripting Python

SLURM

Networking

Storage systems

Documentation

Communication

Cloud platforms

Education

Bachelor's degree in Computer Science or Engineering

Tools

BeeGFS

Lustre

Job description

University of Oxford, Department of Engineering Science, seeks a Senior HPC Systems Administrator for the Visual Geometry Group (VGG). The role leads design, deployment and optimisation of large-scale HPC, GPU clusters, storage, and networking to support AI and vision research.

You will manage Linux compute/storage environments, implement automation, collaborate with researchers, and help evolve technology across the department. Excellent communication and independence are essential.