SLURM & HPC Orchestration Engineer for AI Workloads

Roche

Kaiseraugst

Vor Ort

CHF 150.000 - 190.000

Vollzeit

Vor 10 Tagen
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Zusammenfassung

Roche Kaiseraugst seeks a Workload Orchestration Engineer to own and advance SLURM-based scheduling across HPC and AI environments. You will drive resource optimization for multi-node CPU/GPU, ensuring high availability and efficient execution of research workloads.

You will lead cross‑functional initiatives, mentor engineers, and collaborate with Observability to deploy telemetry dashboards that monitor queue times and hardware utilization.

Qualifikationen

  • Bachelor's or advanced degree in Computer Science, Applied Mathematics, or Computational Engineering.
  • Extensive experience in workload scheduling and SLURM administration.
  • Proven track record leading complex technical initiatives.
  • Experience in life sciences, pharmaceutical R&D, or high‑performance computing environments.

Aufgaben

  • Lead SLURM architecture, tuning, and policy design.
  • Bridge HPC and cloud-native ecosystems with Kubernetes integrations.
  • Provide technical leadership and mentorship across cross-functional teams.
  • Partner with Observability to implement telemetry dashboards for efficiency.

Kenntnisse

SLURM administration
Workload scheduling
Multi-tenant cluster optimization
Technical leadership & mentoring
Life sciences / pharmaceutical R&D

Ausbildung

Bachelor's or higher in Computer Science / Applied Mathematics / Computational Engineering

Tools

SLURM
Kubernetes
Singularity/Apptainer

Jobbeschreibung

Roche Kaiseraugst seeks a Workload Orchestration Engineer to own and advance SLURM-based scheduling across HPC and AI environments. You will drive resource optimization for multi-node CPU/GPU, ensuring high availability and efficient execution of research workloads.

You will lead cross‑functional initiatives, mentor engineers, and collaborate with Observability to deploy telemetry dashboards that monitor queue times and hardware utilization.

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