Senior HPC Scheduler Engineer (LSF/Slurm) - Hybrid + Equity

NVIDIA Corporation

Santa Clara (CA)

Hybrid

USD 150.000 - 288.000

Vollzeit

Vor 4 Tagen
Sei unter den ersten Bewerbenden
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Benefits dieser Stelle

Equity
Comprehensive benefits
Hybrid work model

Zusammenfassung

NVIDIA is seeking an experienced HPC compute and scheduling specialist to optimize and scale Linux-based workload queues across multiple sites. You will drive reliability, observability, and automation to support design workloads and improve throughput.

The role demands 5+ years in HPC compute environments, deep Linux knowledge, and strong communication with engineering teams. A hybrid work model and competitive compensation are offered.

Qualifikationen

  • Bachelor's degree in Computer Science or related field.
  • 5+ years of experience operating large-scale Linux compute infrastructure.
  • Hands-on with HPC schedulers (LSF, Slurm) in HPC or silicon design environments.
  • Proficient in Linux administration (CentOS/RHEL).
  • Strong problem solving and communication with stakeholders.

Aufgaben

  • Manage, scale, and optimize job scheduling systems (LSF, Slurm) in a large-scale, multi-site environment.
  • Analyze scheduler and infrastructure performance data to drive improvements in utilization and turnaround time.
  • Lead problem solving across scheduler, OS, and workload layers to resolve service-impacting issues.
  • Identify recurring operational challenges and implement automation or process improvements.
  • Help define and track metrics and SLOs for service performance and reliability with customer collaboration.
  • Contribute to operational standards, documentation, and best practices across sites.
  • Partner with customer teams to clarify requirements and drive issues to closure.

Kenntnisse

LSF/Slurm
Linux OS admin
HPC compute
Troubleshooting
Communication

Ausbildung

Bachelor's degree in Computer Science or related field

Tools

Docker/Singularity

Jobbeschreibung

NVIDIA is seeking an experienced HPC compute and scheduling specialist to optimize and scale Linux-based workload queues across multiple sites. You will drive reliability, observability, and automation to support design workloads and improve throughput.

The role demands 5+ years in HPC compute environments, deep Linux knowledge, and strong communication with engineering teams. A hybrid work model and competitive compensation are offered.

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