HPC Support Analyst

University of Cambridge
July 15, 2024
Offerd Salary:£32,332-£38,205
Working address:N/A
Contract Type:Other
Working Time:Full time
Working type:N/A
Ref info:N/A
HPC Support Analyst

Are you interested in an exciting and unique opportunity to support the UK's HPC and AI Research Services? We are looking for enthusiastic individuals to join our team operating large HPC and AI infrastructure including the UK's fastest AI supercomputer, Dawn. We support scientists across the UK in critical research fields such as clean energy, personalised medicine and climate science and you will help us in delivering world class services.

Who you'll be working with The role is based in Research Computing Services, a leading UK National Supercomputing Centre, providing facilities and services to world-renowned scientists, clinicians and engineers across the UK and Europe. You'll be part of a growing team of specialist, Software and Systems Engineers, working with a wide range of stakeholders across multiple disciplines and institutions.

What you will do You'll be responsible for supporting a diverse range of activities, including providing first line support for all specialised Research computing IT services, user administration, problem solving, issue diagnosis and fault resolution, improving documentation, automating processes, contributing to training materials and events and business processes such as the processing of purchase orders and generation of reports, to ensure effective exploitation of the services by the researchers.

Skills and experience you will need

  • Proven experience in technical problem solving.

  • Knowledge in one of the following areas: Linux system administration Scripting Automation and configuration management (Ansible or Puppet) Version control Cloud technologies e.g. OpenStack or VMware Ability to manage and prioritise own tasks and supervise junior team members

  • Able to communicate effectively orally and in writing.

  • Highly proactive and enthusiastic.

  • An interest in working with AI, High Performance Computing or Research Software is essential but experience in these fields is not crucial as long as you show willingness to learn.

    What we can offer

  • 41 days holiday per year including bank holidays

  • A generous pension

  • Hybrid working. The University is supportive of hybrid working, where some work is undertaken on University premises and some in a remote working environment. The aim of our approach is to enable as many staff as possible to work in a hybrid way if they wish and where their role allows.

  • A friendly and supportive team environment

  • The opportunity to shape and influence how we work.

  • We support flexible and family-friendly working and are open to non-standard working patterns. While this is advertised as a full-time role, we would consider applications from candidates who are looking to work less than full- time hours and are open to applicants who live outside Cambridge but are willing to travel to Cambridge when required.

    Once an offer of employment has been accepted, the successful candidate will be required to undergo a basic disclosure (criminal records check) check and a security check.

    We welcome applications from individuals who wish to be considered for part- time working or other flexible working arrangements.

    We particularly welcome applications from women and /or candidates from a BME background for this vacancy as they are currently under-represented at this level in our department.

    Click the 'Apply' button below to register an account with our recruitment system (if you have not already) and apply online.

    All queries should be directed to the e-mail address: [email protected] in the first instance.

    Please quote reference VC42290 on your application and in any correspondence about this vacancy.

    The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.

    The University has a responsibility to ensure that all employees are eligible to live and work in the UK.

    Further information
  • Further information document
  • Department/Location

    University Information Services






    Assistant staff


    1 July 2024

    Closing date

    15 July 2024

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