HPC Research Engineer — Hybrid, Training & Pension

The London School of Economics and Political Science (LSE)

Greater London

Hybrid

GBP 43,000 - 52,000

Full time

2 days ago
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Benefits offered by this job

Occupational pension scheme
Generous annual leave
Hybrid working
Training and development opportunities

Job summary

The London School of Economics and Political Science (LSE) invites applications for a Research HPC Support Engineer to contribute to the design, deployment and optimisation of advanced computing infrastructure. You will support HPC clusters, GPU acceleration, networking and data storage to enable high-level computational research and AI projects.

Collaborating with researchers and technical teams, you will implement open-source build frameworks, apply DevOps practices using Python, Perl, Bash

Qualifications

  • Strong HPC expertise with GPU systems and HPC clusters.
  • Experience administering and optimising HPC environments (Slurm/OpenPBS/K8).
  • Hands-on with HPC build/installation tooling (Spack, Easybuild).
  • Proficiency in scripting (Python, Perl, Bash) and DevOps practices.

Responsibilities

  • Design, develop, maintain and optimise HPC infrastructure and GPU accelerators.
  • Collaborate with researchers and technical teams to deliver scalable HPC solutions.
  • Implement open-source build frameworks and automate deployment and configuration.

Skills

HPC systems
GPU systems
Cluster administration
Slurm/OpenPBS/K8
Scripting: Python
Scripting: Perl
Scripting: Bash
Ansible
DevOps practices

Tools

Spack
Easybuild

Job description

The London School of Economics and Political Science (LSE) invites applications for a Research HPC Support Engineer to contribute to the design, deployment and optimisation of advanced computing infrastructure. You will support HPC clusters, GPU acceleration, networking and data storage to enable high-level computational research and AI projects.

Collaborating with researchers and technical teams, you will implement open-source build frameworks, apply DevOps practices using Python, Perl, Bash

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