AI Supercomputing Infrastructure Engineer (3 x FTE)

AI Supercomputing Infrastructure Engineer (3 x FTE)

AI Supercomputing Infrastructure Engineer (3 x FTE)

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The role

The Bristol AI Supercomputing Centre runs the Isambard-AI National Artificial Intelligence Research Resource, recently announced AI Data facility and the Isambard3 Tier-2 Supercomputer. Isambard-AI is the most powerful supercomputer in the UK and amongst the most powerful in Europe.   The AI Supercomputing 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.     In this role, you will work as part of the AI Supercomputing Team to build and operate primarily the infrastructure and compute platforms that researchers use for their work. You do not need to be an AI or computational research domain expert to deliver world-class infrastructure, but you do need to quickly obtain a deep technical understanding of new domains. You should enjoy being self-directed and identifying the most important problems to solve as the team matures with standardized tools and processes around stability, robust service delivery and scaling.   This role supports hybrid working arrangements to provide flexibility. While the Centre's operational needs require successful candidates to start as soon as possible, we are able to accommodate individual notice periods to attract top talent.  

What will you be doing?

As a member of the AI Supercomputing Team, you will;  

• 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.  

You should apply if

• 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 built small to large clusters or dabbled in building your own physical or software-defined systems, and have motivation to scale up to something massive and nationally impactful .  
  
• Love building 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 Engineer role focusing on storage and networking, you’ll need:  

• Domain expertise in 1 or more areas from NetOps and DevOps.  
  
• 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.  
  
• Good organisational skills to manage not just your own workload but also that of less  experienced members of the team.  

The available job description provides a full view of the person specification.  

Additional information

For any informal enquiries, please contact Emma Rose, Centre Manager - [email protected].

Contract type: Open ended with fixed funding until August 2030.

Work pattern: Monday - Friday, 35 hours per week.

Positions available: x3 FTE

Grade: K

Salary: £50,253 - £58,225 per annum.

School/Unit: Bristol Centre for Supercomputing (BriCS)

This advert will close at23:59 UK timeon Sunday 31st January 2027

Please note that applications will be reviewed and shortlisted on a rolling basis throughout the advertising period. Interviews will also be held at regular intervals during this time. We reserve the right to close the advert early once the vacancies have been filled, therefore early applications are encouraged.

Our strategy and mission

We recently launched our strategy to 2030 tying together our mission, vision and values.

The University of Bristol aims to be a place where everyone feels able to be themselves and do their best in an inclusive working environment where all colleagues can thrive and reach their full potential. We want to attract, develop, and retain individuals with different experiences, backgrounds and perspectives – particularly people of colour, LGBT+ and disabled people - because diversity of people and ideas remains integral to our excellence as a global civic institution.

Available documents

• AISI Engineer_BriCS_JD.pdf

Job number

SUPP113120

Contract Type/Work Pattern

Open ended / Full time

Posting End Date

31 Jan 2027

Faculty/Division

Faculty of Science and Engineering

Salary

£51,753 - £58,225 per annum.

Yes

The role

The Bristol AI Supercomputing Centre runs the Isambard-AI National Artificial Intelligence Research Resource, recently announced AI Data facility and the Isambard3 Tier-2 Supercomputer. Isambard-AI is the most powerful supercomputer in the UK and amongst the most powerful in Europe.   The AI Supercomputing 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.     In this role, you will work as part of the AI Supercomputing Team to build and operate primarily the infrastructure and compute platforms that researchers use for their work. You do not need to be an AI or computational research domain expert to deliver world-class infrastructure, but you do need to quickly obtain a deep technical understanding of new domains. You should enjoy being self-directed and identifying the most important problems to solve as the team matures with standardized tools and processes around stability, robust service delivery and scaling.   This role supports hybrid working arrangements to provide flexibility. While the Centre's operational needs require successful candidates to start as soon as possible, we are able to accommodate individual notice periods to attract top talent.  

What will you be doing?

As a member of the AI Supercomputing Team, you will;  

• 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.  

You should apply if

• 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 built small to large clusters or dabbled in building your own physical or software-defined systems, and have motivation to scale up to something massive and nationally impactful .  
  
• Love building 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 Engineer role focusing on storage and networking, you’ll need:  

• Domain expertise in 1 or more areas from NetOps and DevOps.  
  
• 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.  
  
• Good organisational skills to manage not just your own workload but also that of less  experienced members of the team.  

The available job description provides a full view of the person specification.  

Additional information

For any informal enquiries, please contact Emma Rose, Centre Manager - [email protected].

Contract type: Open ended with fixed funding until August 2030.

Work pattern: Monday - Friday, 35 hours per week.

Positions available: x3 FTE

Grade: K

Salary: £50,253 - £58,225 per annum.

School/Unit: Bristol Centre for Supercomputing (BriCS)

This advert will close at23:59 UK timeon Sunday 31st January 2027

Please note that applications will be reviewed and shortlisted on a rolling basis throughout the advertising period. Interviews will also be held at regular intervals during this time. We reserve the right to close the advert early once the vacancies have been filled, therefore early applications are encouraged.

Our strategy and mission

We recently launched our strategy to 2030 tying together our mission, vision and values.

The University of Bristol aims to be a place where everyone feels able to be themselves and do their best in an inclusive working environment where all colleagues can thrive and reach their full potential. We want to attract, develop, and retain individuals with different experiences, backgrounds and perspectives – particularly people of colour, LGBT+ and disabled people - because diversity of people and ideas remains integral to our excellence as a global civic institution.

Available documents

• AISI Engineer_BriCS_JD.pdf

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