Senior Compute Platform Engineer, LSF

NVIDIA

Senior Compute Platform Engineer optimizing NVIDIA’s federated LSF infrastructure for semiconductor EDA workloads. Diagnosing scheduler and MultiCluster behavior across large-scale compute cells.

Posted 8/20/2026full-timeSanta Clara • California, Texas • 🇺🇸 United StatesSenior💰 $184,000 - $356,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Expertise in High-Performance Computing (HPC) and large-scale batch compute environments, with a strong focus on IBM Spectrum LSF and MultiCluster management. Proficient in system programming and scripting, particularly in Python, Perl, and shell, to optimize scheduler behavior and integration.

Highest-signal resume keywords

IBM Spectrum LSFHigh-Performance Computing (HPC)MultiCluster ManagementSystem Programming in Python, Perl, and ShellLinux Systems Fundamentals

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Applicant Tracking System Keywords

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Hard Skills

IBM Spectrum LSF InternalsMultiCluster ExperienceScheduler Policy ConfigurationLSF Integration PointsContention AnalysisSystem ProgrammingScripting in PythonScripting in PerlShell ScriptingProduction Environment Management

Tools & Technologies

LSF APIsConfiguration SchemaScheduler Behavior TuningRemote Queue SizingCross-Cluster Forwarding

Industry Keywords

SemiconductorEDA ComputeBatch ComputeProduction Estate MigrationContention Patterns

Tech Stack

Tools & technologies

LinuxPerlPython

About the role

Key responsibilities & impact

Own scheduler behavior across 15–25 federated LSF cells, including mbatchd and mbschd tuning, scheduling cycle analysis, and contention patterns near host-count ceilings
Diagnose MultiCluster forwarding problems, including remote queue sizing, forwarding policy, and cross-cluster pending behavior
Set technical design for cell topology and federation as the farm grows
Decide what belongs in a cell versus a new cell
Work with the IaC engineer to encode scheduler policy into a configuration schema compatible with MultiCluster at scale
Partner with CAD and methodology teams on 500GB+ memory jobs, interactive-versus-batch contention, and tape-out crunch bursts

Requirements

What you’ll need

BS or MS in Computer Science, Computer Engineering, or equivalent experience
8+ years in HPC or large-scale batch compute
5+ years of experience with IBM Spectrum LSF
Demonstrated depth in LSF internals
Hands-on MultiCluster experience in a production, multi-site environment
Strong Linux systems fundamentals
System programming languages and scripting in Python, Perl, and shell
Experience with LSF integration points such as esub, eexec, elim, submit wrappers, RTM, or the LSF APIs
Background in semiconductor or EDA compute
Experience migrating a production estate off Slurm, PBS, or Grid Engine without a scheduled outage users noticed

Benefits

Comp & perks

Equity
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