HPC & AI Performance Engineer – Optimize Cutting-Edge Apps

Hewlett Packard Enterprise Development LP

Winnersh

Remote

GBP 65,000 - 90,000

Full time

2 days ago
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Job summary

Hewlett Packard Enterprise is seeking an HPC & AI Application Performance Engineer to join our UK team. You will analyse and optimise HPC and AI applications, working with customers, partners, and R&D to unlock higher performance and scalability.

The role combines on-site customer work in the UK with remote collaboration across EMEA and LATAM. You will deliver workshops, contribute to tool development, and shape best practices for performance benchmarking and optimisation.

Qualifications

  • Bachelor's degree in Science/Tech/Engineering/Math or related field.
  • UK citizenship with ability to obtain security clearances for UK environments.
  • Strong HPC/AI architectures, performance analysis, and debugging skills.
  • Experience with C/C++/Fortran and Python; GPU programming knowledge.
  • Familiarity with MPI and OpenMP; proficiency with profiling tools.
  • Excellent written/spoken English and teamwork.

Responsibilities

  • Provide advanced technical expertise to HPC/AI environments across EMEA/LATAM.
  • Analyse applications/workloads to improve performance and scalability.
  • Investigate issues; act as link between support and R&D.
  • Support large HPC/AI bids and tenders; deliver workshops and training.
  • Share knowledge and contribute to tool and methodology development.

Skills

C/C++/Fortran
Python
CUDA/OpenACC/OpenMP
MPI

Education

Bachelor's degree or equivalent
Master's degree or PhD

Tools

CUDA toolkit

Job description

Hewlett Packard Enterprise is seeking an HPC & AI Application Performance Engineer to join our UK team. You will analyse and optimise HPC and AI applications, working with customers, partners, and R&D to unlock higher performance and scalability.

The role combines on-site customer work in the UK with remote collaboration across EMEA and LATAM. You will deliver workshops, contribute to tool development, and shape best practices for performance benchmarking and optimisation.

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