Senior HPC SYSTEMS administrator Closing date: Jul 07, 2026

University of Oxford, Department of Engineering Science; Job; Sur place; EUR 56 804 - 63 641; Plein temps

Résumé du poste

The University of Oxford, Department of Engineering Science, is seeking a Senior HPC Systems Administrator to enhance the performance and scalability of cutting-edge AI research platforms. This role involves leading the development and maintenance of HPC infrastructures ensuring robust operational efficiency.

Candidates should possess extensive experience in managing HPC systems and hold a degree in Computer Science or Engineering. The position offers a competitive salary range of £49,119 to £55,031, and the opportunity to contribute to pioneering academic work.

Qualifications

• Extensive experience managing HPC infrastructure in research or technical environments.
• Experience with GPU servers and high-performance networking technologies.
• Knowledge of storage systems and backup/archive procedures.

Responsabilités

• Designing, building, and maintaining HPC clusters.
• Managing Linux compute and storage environments.
• Monitoring system performance and security.

Connaissances

Linux systems administration

HPC infrastructure management

Scripting and automation (Bash, Python)

Strong troubleshooting skills

Excellent communication abilities

Formation

Degree in Computer Science, Engineering, or related field

Outils

SLURM

GPU servers

Cloud computing platforms

Description du poste

Description

We are seeking a full‑time Senior HPC Systems Administrator to join the Department of Engineering Science at the University of Oxford, working within the internationally recognised Visual Geometry Group (VGG) and the Foerster Lab for AI Research. This post is fixed‑term until 30th April 2030.

This is an exciting opportunity for an experienced systems professional to lead the development, administration, and strategic evolution of the group’s high‑performance computing (HPC) infrastructure that supports cutting‑edge AI, computer vision, and multimodal learning research.

The successful candidate will take a leading role in the design, deployment, maintenance, and optimisation of large‑scale HPC systems, including CPU and GPU clusters, high‑performance storage, and advanced networking technologies. The postholder will work closely with academic researchers, software engineers, and departmental IT teams to ensure robust, scalable, and secure computational infrastructure capable of supporting world‑leading research in machine learning and visual computing.

Salary and Closing Date

Salary: Grade 8: £49,119 – £55,031 per annum.

Closing date: Jul 07, 2026 12:00PM.

The Role Includes Responsibility For

• Designing, building, and maintaining HPC clusters and associated infrastructure
• Managing Linux compute and storage environments
• Supporting GPU‑enabled research computing systems
• Maintaining high‑performance storage and backup solutions
• Monitoring system performance, security, and availability
• Supporting and mentoring researchers, software engineers, and postgraduate students
• Developing documentation, training materials, and operational best practices
• Collaborating with departmental and university‑wide research IT teams
• Evaluating and deploying new technologies to support evolving research requirements

Essential Skills and Experience

• Degree in Computer Science, Engineering, or a related technical discipline
• Extensive experience managing HPC infrastructure in research or technical environments
• Strong Linux systems administration expertise
• Experience with GPU servers and high‑performance networking technologies
• Experience with scripting and automation (e.g. Bash, Python)
• Knowledge of storage systems and backup/archive procedures
• Strong troubleshooting and systems integration skills
• Excellent written and verbal communication abilities
• Ability to work independently and collaboratively in a research environment

Desirable Skills

• Experience with SLURM or other job scheduling systems
• Experience with containerisation and virtualisation technologies
• Knowledge of cloud computing platforms
• Familiarity with scientific computing tools and AI/ML research workflows
• Experience supporting research software or academic computing environments
• Knowledge of high‑performance file systems such as BeeGFS or Lustre

Contact

For informal enquiries, please contact [e-mail].

Additional Information

For more information about working at the Department, see www.eng.ox.ac.uk/about/work-with-us/.

The Department holds an Athena Swan Bronze Award, recognising its commitment to advancing gender equality and supporting an inclusive working environment.