Switzerland Job Openings

ETH Zürich

HPC Applications Specialist

Zürich

FULL TIME

September 26, 2024

HPC Applications Specialist
100%, Zurich, fixed-term

Do you want to move science forward? Solve complex problems and turn them into simple and elegant solutions? Work on something meaningful with an innovative team that creates value for our society?

Then ETH Zurich is looking for you.

Project background
Our mission in the High Performance Computing group is to provide first-class HPC and AI/ML resources to researchers from all departments of ETH Zurich. We operate compute clusters with thousands of CPUs and GPUs, petabytes of storage, high-speed / low-latency networks, in multiple data centres in Zurich and Lugano. Since our users' needs are constantly evolving, we are using cutting-edge, cloud-native technologies like Kubernetes to expand our services to world-class supercomputers and into the cloud.
Job description
We are looking for an Applications specialist with a passion for HPC.
This position is part of our "Next Gen HPC" project, which will enable ETH Zurich to expand its "Euler" computing platform to various HPC infrastructures in Switzerland and/or abroad. As part of this project, your role will be to port a series of scientific applications to new hybrid CPU+GPU architectures like Nvidia Grace Hopper and AMD Instinct APUs. This includes compilation, testing, debugging, performance analysis (efficiency, scaling), and optimization. You will make these applications available to ETH researchers using Spack and Singularity/Apptainer, and automate the installation process using industry-standard CI/CD pipelines based on Kubernetes. You will also assist ETH researchers in the form of tutorials, workshops and personalized user support.
These tasks will require a close collaboration with the Dev Ops and User Support teams in the HPC group.
Profile
Requirements:
  • BSc. Computer Science or related
  • Ability to understand scientists’ computing needs and to address them
  • First-hand experience with large-scale scientific computing applications
  • Experience with parallelization and optimization of scientific codes
  • Compilation and packaging of complex open-source codes using e.g. Spack and Singularity
  • Coding experience with Bash and Python
  • Familiarity with C/C++, Fortran, MPI and open MP
  • Ability to learn new things quickly and put them into practice
  • Good communication skills in English
The following are considered an advantage:
  • Programming experience with CUDA, ROCm, Py Torch, Tensor Flow
  • Operation of Linux servers and large-scale clusters
  • Understanding of Kubernetes and cloud-native technologies
  • Experience with hybrid CPU+GPU systems (Nvidia Grace-Hopper, AMD Instinct or equivalent)
Workplace
Workplace


We offer
  • Dynamic international team
  • Brand new offices in Zurich with free coffee
  • Hybrid working model (home / office)
  • Half-price access to public transport in Switzerland
  • Possibility to attend ETH lectures and courses
  • Participation to conferences in Switzerland and abroad
This position is limited to one year. An extension may be possible subject to budgetary considerations.

We value diversity
In line with our values, ETH Zurich encourages an inclusive culture. We promote equality of opportunity, value diversity and nurture a working and learning environment in which the rights and dignity of all our staff and students are respected. Visit our Equal Opportunities and Diversity website to find out how we ensure a fair and open environment that allows everyone to grow and flourish.
Curious? So are we.
We look forward to receiving your online application with the following documents:
  • Letter of motivation
  • Resumé
  • Copies of diplomas and/or work certificates
  • References
Please note that we exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered.
Further information about Scientific IT Services can be found on our website sis.id.ethz.ch. Questions regarding the position should be directed to Dr. Olivier Byrde, Head of High Performance Computing, olivier.byrde@id.ethz.ch (no applications).
For recruitment services the GTC of ETH Zurich apply.
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