AI Infrastructure Associate Engineer (3 x FTE)

The Bristol Centre for Supercomputing (BriCS) runs the Isambard-AI National Artificial Intelligence Research Resource, recently announced AI Data facility and the Isambard 3 Tier-2 Supercomputer. Isambard-AI is the most powerful supercomputer in the UK and amongst the most powerful in Europe.

The BriCS team owns the entire process of developing and operating the centre’s compute and software infrastructure, which includes:

The sourcing of hardware and system design.

The deployment of huge software-defined infrastructure using tools such as Kubernetes and Terraform / OpenTofu.

Building and operating platforms to enable researchers to conduct leading-edge research using the systems.

Optimising and refining software to ensure environmental and economic efficient use.

As one of the largest Open AI Research Resources internationally, we are committed to catalysing an AI transformation in the research and development community.

Use tools such as Python, Rust, Terraform / OpenTofu, Kubernetes, Git and Bash.

Design and operate large, highly available supercomputing services managed as software-defined infrastructures, and integrated as complete computational experiments.

You will experience designing and operating massive-scale GPU and combined CPU/GPU workloads across these services.

You will design and debug platforms, and will work closely with researchers as you co-design solutions that will enable the development and operation of new algorithms and software to solve leading-edge research problems.

Want to help build, maintain and secure some of the largest, modern software-defined supercomputing systems.

Would enjoy working with world class domain and AI researchers as your primary workload .

Have supported development or operation of a small to large clusters or dabbled in building your own physical or software-defined systems.

Love operating large distributed, highly available systems, and want to see them used for truly open national-scale research in a cybersecurity compliant manner.

For our AI Supercomputing Infrastructure Associate Engineer role focusing on storage and networking, you’ll need:

Domain knowledge in 1 or more areas from SysOps, NetOps, DevOps, SecOps, MLOps or Research Software Engineering.

Degree (or equivalent practical experience) in computer science, computational or ML/AI research or in a natural science with a high degree of competence in computer science or computational research.

Ability to contribute as a member of diverse, technical teams and to follow operational procedures.

To find out more about what it's like to work in the Faculty of Engineering, and how the Faculty supports people to achieve their potential, please see our staff blog:

https://engineering.blogs.bristol.ac.uk/category/engineering-includes-me/

This advert will close at 23:59 UK time on Sunday 11th October 2026

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