Apertus Ingenieur: Infrastructure — ETH Zürich

NeuCHF 73'500 - 111'500
ETH Zürich · Zurich (ZH)
Categoria: Ingegneria Contratto: fixed-term Salario: CHF 73'500 - 111'500
Jetzt bewerben
Ort
Zurich
Vertrag
fixed-term
Veröffentlicht
Gestern
LohnCHF 73'500 - 111'500

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Apertus Engineer: Infrastructure

100%, Zurich, fixed-term print Drucken

We are seeking a skilled infrastructure engineer to join the Apertus team.

Weitere Details

  • 100%, Zurich, fixed-term
  • This role requires strong Linux and container skills, experience with HPC environments, and the ability to work collaboratively across research, engineering, and operations teams. Project background
  • The role requires someone who is comfortable working in an HPC environment and collaborating with researchers and infrastructure engineers.
  • The engineer will enable stability and throughput for the Apertus pre-training and post-training pipelines by maintaining the ML system images and partnering with CSCS on the underlying infrastructure. ML system image maintenance
  • Validate images against reference pre-training and post-training workloads together with Apertus engineers, and maintain working launch examples Compute partnership and efficiency
  • Document and disseminate institutional knowledge about the CSCS infrastructure and best practices for leveraging these high-performance systems Infrastructure stress testing
  • Support the Apertus serving stack, which builds on the same images (operation of the serving stack is owned by a separate engineer)
  • Exceptional BSc candidates with strong engineering experience will also be considered Hands-on experience with HPC enviro

Notizen und Originalinhalt

  • This role requires strong Linux and container skills, experience with HPC environments, and the ability to work collaboratively across research, engineering, and operations teams.
  • Project background
  • Job description
  • The engineer will enable stability and throughput for the Apertus pre-training and post-training pipelines by maintaining the ML system images and partnering with CSCS on the underlying infrastructure.
  • ML system image maintenance
  • Validate images against reference pre-training and post-training workloads together with Apertus engineers, and maintain working launch examples
  • Compute partnership and efficiency
  • Document and disseminate institutional knowledge about the CSCS infrastructure and best practices for leveraging these high-performance systems
  • Infrastructure stress testing
  • Exceptional BSc candidates with strong engineering experience will also be considered
Jetzt bewerben
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