Senior Slurm Administrator
NVIDIA · Posted Oct 13
Graphics processing units, artificial intelligence platforms, accelerated computing, and data center solutions
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About the role
NVIDIA's HPC Infrastructure team designs, evaluates, and optimizes the compute infrastructure that powers NVIDIA's next-generation silicon design and AI workloads. The team runs large-scale batch scheduling environments spanning Slurm and LSF across a VLSI compute estate. This role owns Slurm within that VLSI compute environment, handling cluster configuration and tuning, scheduler automation, monitoring and reporting, plus day-to-day production operations and escalations support for design engineers.
What you will do
- 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.
Skills used in this role
What the employer is looking for
- 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.
Benefits and support
- Compensation and benefits are detailed in the job posting
About NVIDIA
NVIDIA Corporation is a multinational technology company that designs graphics processing units (GPUs) for the gaming and professional markets, as well as system on a chip units (SoCs) for the mobile computing and automotive market. Pioneering accelerated computing, the company has become a driving engine of modern artificial intelligence, deep learning, and data center infrastructure.
- Industry
- Semiconductors
- Company size
- 42000+ employees
- Founded
- April 5, 1993
- Location
- Santa Clara, California, USA
- Funding stage
- Public Company
Funding
Public Company · $5M raised
Leadership
Founder, President and Chief Executive Officer
Executive Vice President and Chief Financial Officer
Founder and NVIDIA Fellow
Executive Vice President, Worldwide Field Operations
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