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HPE Labs - EMEA Research Lab Ph.D. Intern (HPC/AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
trainee
Английский
b2
Страна
France/UK/US +1 еще
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
HPE Labs - EMEA Research Lab Ph.D. Intern (HPC/AI): Building research technologies and tools for energy-efficient HPC systems with an accent on computing systems architecture, parallel programming, and secure AI/HPC infrastructure. Focus on developing data movement scheduling, heterogeneous memory management, confidential computing, automated SELinux configuration, and digital twins of large compute infrastructures.

Location: Hybrid, with an expectation to work an average of 2 days per week from an HPE office in Basel, Switzerland; Grenoble, France; or Bristol, UK

Company

hirify.global is a global edge-to-cloud technology company developing solutions for connecting, protecting, analyzing, and acting on data and applications.

What you will do

  • Accelerate applied research in computing systems architecture, with a focus on technologies for sustainability.
  • Build technologies and tools for energy-efficient high-performance computing systems.
  • Research data movement scheduling in the Maestro middleware and multi-GPU heterogeneous memory management in the Mamba memory layer abstraction library.
  • Develop secure AI/HPC infrastructure capabilities, including confidential computing and automated SELinux configuration of compute nodes.
  • Work on digital twins of large compute infrastructures within the Exadigit initiative.
  • Contribute across the full research lifecycle, from novel ideas and design through development, evaluation, and technology transfer, while collaborating with internal teams and external partners.

Requirements

  • At least a B.Sc. equivalent in a science, technology, engineering, or mathematics discipline, while pursuing or having recently completed an MS or Ph.D.
  • Development experience in compiled languages such as C, C++, or Fortran, plus interpreted environments such as Python.
  • Experience with parallel programming models including OpenMP, MPI, CUDA, OpenACC, HIP, or PGAS languages.
  • Strong systems programming, software engineering, research, and development skills.
  • Ability to generate, frame, and conduct leadership research, demonstrated for example through publications in top-tier conferences or journals.
  • Excellent written and verbal communication skills, with the ability to work independently and collaboratively.

Culture & Benefits

  • Applied research environment combining industrial research and technology development using Agile and Lean methodologies.
  • Collaboration with research teams, external partners, customers, third-party developers, and HPE’s broader innovation community.
  • Health and wellbeing benefits supporting physical, financial, and emotional wellbeing.
  • Personal and professional development programs supporting career growth and knowledge development.
  • Inclusive workplace that values varied backgrounds and individual uniqueness.

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