TEVOS

Senior Slurm Administrator

Nvidia · Bengaluru, India

Engineering Senior Full-time Verified source Salary not disclosed

Posted 21 Oct 2026 (first seen by Tevos)
Last confirmed 26 Oct 2026 (last seen by Tevos)

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Job description

NVIDIA is looking for an exceptional engineer to grow and thrive alongside our HPC Infrastructure team that designs, evaluates, and optimizes the compute infrastructure powering NVIDIA's next-generation silicon design and AI

workloads. You'll own Slurm within NVIDIA's VLSI compute environment and provide second-deep coverage across the wider scheduling estate.

What you'll be doing:

  • In this position, you will own Slurm within NVIDIA's VLSI compute environment and provide second-deep coverage across the wider scheduling estate.
  • Administer, configure and tune Slurm clusters - partitions, QOS, accounting, limits, node states and topology - and operate them alongside an existing LSF estate.
  • Automate scheduler operations: node onboarding and draining, configuration management, health checks and routine maintenance.
  • Build and maintain dashboards and reporting for job throughput, queue wait times and SLA attainment.
  • This is a hands-on technical role. You will be in the cluster and the scripts yourself, supporting design engineers during local business hours, and day-to-day operations - queue health and job triage - are a core part of the job rather than a side activity.

What we need to see:

  • B.E./B.Tech/M.Tech in Computer Science, Electrical Engineering, or equivalent experience.
  • 5+ years in compute infrastructure, with hands-on responsibility for batch scheduling.
  • Strong practical Slurm experience: configuration, partitions and QOS, accounting via slurmdbd, node management, and troubleshooting real job failures in production.
  • Exposure to a second scheduler, LSF preferred, or a clear appetite to pick one up quickly.
  • Solid Linux systems administration - filesystems, NFS, networking, process and resource management.
  • Working automation skills in Python and shell, and experience with monitoring and dashboarding tools.
  • Comfortable carrying a real operational load - you treat production support and escalations as part of the engineering job. Semiconductor/EDA or HPC exposure is a plus, not a requirement.

Source: Nvidia careers page, collected by Tevos on 26 Oct 2026; verify details on the employer site. Tevos does not take applications — the Apply button opens the employer’s own page.

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