Location: | Bristol |
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Salary: | £37,999 to £43,878 Grade I, per annum |
Hours: | Full Time |
Contract Type: | Permanent |
Placed On: | 14th November 2024 |
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Closes: | 15th December 2024 |
Job Ref: | SUPP111930 |
The role
The Bristol AI Supercomputing Centre runs the Isambard-AI National Artificial Intelligence Research Resource, and the Isambard3 Tier-2 Supercomputer. Isambard-AI is expected to be 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:
As one of the largest Open AI Research Resources internationally, we are committed to catalysing an AI transformation in the research and development community.
As the AI Supercomputing Infrastructure Support Engineer, 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 ML/DL 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;
You should apply if
You will find this work exciting if you:
For our AI Supercomputing Infrastructure Support Engineer role, you’ll need:
The available job description provides a full view of the person specification.
We're investing heavily into our technical & academic AI capability in 2024/25.
For more information on Isambard AI click here.
Additional information
Shortlisted candidates for this role with be interviewed over a number of tranches.
For informal queries please contact: Emma Rose Emma.rose@bristol.ac.uk
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