LSF Architect: Multi-Cluster HPC Scheduler

NVIDIA

Austin (TX)

Hybrid

USD 184,000 - 357,000

Full time

14 days+

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Benefits offered by this job

Equity

Job summary

NVIDIA in Austin, TX seeks an engineer with deep LSF internals to consolidate a dual-scheduler estate across 15–25 federated cells. You will own mbatchd/mbschd tuning, analyze scheduling cycles, and define cell topology for scalable federation.

You will work with IaC to encode policies, collaborate with CAD and methodology teams on large memory workloads, and help keep the farm efficient as demand grows. Base salary ranges and equity are offered; applications accepted until Aug 24, 2026.

Qualifications

  • BS or MS in Computer Science, Computer Engineering, or equivalent experience.
  • 8+ years in HPC or large-scale batch compute, with 5+ years on IBM Spectrum LSF.
  • Demonstrated depth in LSF internals beyond documentation.
  • Hands-on MultiCluster experience in a production, multi-site environment.
  • Strong Linux fundamentals + scripting in Python, Perl, and shell.

Responsibilities

  • Own scheduler behavior across 15–25 federated LSF cells, tuning mbatchd/mbschd and analyzing cycles.
  • Diagnose MultiCluster forwarding problems and remote queue sizing across clusters.
  • Define cell topology and federation strategy as the farm grows.
  • Collaborate with IaC to encode scheduler policy into a robust config schema.
  • Partner with CAD and methodology teams on memory-heavy workloads and bursts.

Skills

LSF internals
MultiCluster experience
Linux fundamentals
Python
Perl
Shell

Education

BS or MS in Computer Science or Computer Engineering

Tools

IBM Spectrum LSF
esub
eexec
elim
submit wrappers
LSF APIs

Job description

NVIDIA in Austin, TX seeks an engineer with deep LSF internals to consolidate a dual-scheduler estate across 15–25 federated cells. You will own mbatchd/mbschd tuning, analyze scheduling cycles, and define cell topology for scalable federation.

You will work with IaC to encode policies, collaborate with CAD and methodology teams on large memory workloads, and help keep the farm efficient as demand grows. Base salary ranges and equity are offered; applications accepted until Aug 24, 2026.

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