Senior Slurm Administrator
India, BengaluruPosted Oct 13, 2026
Overview
- Added in 30 days
- 658
- At this company, still open
Skills named in this posting
- Python
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.
Apply on the employer's site
Original posting: jobs.nvidia.com
RISC-V ecosystem
NVIDIA Corporation in the RISC-V ecosystem
RISC-V International: Premier Board
Founded in 1993, NVIDIA is an AI computing company. The company is headquartered in Santa Clara, California.
- NVIDIA is bringing CUDA platform support to RISC-V, i.e. allowing a RISC-V CPU to host CUDA GPU applications
- Publicly credited the RVA23 profile as the enabler: "We wouldn't have considered porting CUDA to RISC-V without it"
- Active in RISC-V International profile/standards work and a frequent presence in RISC-V ecosystem coverage
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