HPC & AI Performance Engineer: Onsite UK

Hewlett Packard Enterprise Development LP

Winnersh

On-site

GBP 65,000 - 105,000

Full time

8 days ago

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Job summary

Hewlett Packard Enterprise is seeking an HPC & AI Application Performance Engineer to optimise complex HPC and AI workloads. You will work with customers on-site in the UK and with regional teams to maximise performance, scalability, and value from HPC/AI investments.

The role focuses on analysing applications, solving challenging problems, and contributing to cutting‑edge projects in scientific discovery and engineering across a distributed team.

Qualifications

  • Bachelor's degree (or equivalent) in Science, Technology, Engineering, Mathematics, or related field.
  • UK citizenship with ability to obtain required security clearances for specific UK customer environments.
  • Strong HPC and AI architectures, software environments, and performance analysis techniques.
  • Experience troubleshooting complex technical issues with engineering/R&D teams.
  • Programming experience in C, C++, or Fortran, plus Python.
  • Experience with GPU programming technologies (CUDA, OpenACC, or OpenMP Offload).
  • Knowledge of MPI and OpenMP parallel frameworks.

Responsibilities

  • Provide advanced technical expertise to HPC/AI customer environments across EMEA and LATAM.
  • On-site with UK customers and remote with wider region.
  • Analyze applications to identify performance improvements and scalability opportunities.
  • Investigate complex software and infrastructure issues and liaise with R&D.
  • Support large HPC/AI bids and tenders with technical input.
  • Deliver workshops, training sessions, and technical presentations.
  • Share knowledge and best practices across the team.

Skills

C/C++
Python
CUDA/OpenACC/OpenMP
MPI/OpenMP
Performance profiling

Education

Bachelor's degree in STEM

Tools

CUDA toolkit
MPI implementations
Linux environment

Job description

Hewlett Packard Enterprise is seeking an HPC & AI Application Performance Engineer to optimise complex HPC and AI workloads. You will work with customers on-site in the UK and with regional teams to maximise performance, scalability, and value from HPC/AI investments.

The role focuses on analysing applications, solving challenging problems, and contributing to cutting‑edge projects in scientific discovery and engineering across a distributed team.

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