Senior Compute Platform Engineer, LSF

Details

NVIDIA's silicon does not tape out without the farm behind it. Its EDA compute environment runs millions of cores across federated LSF cells, and every simulation, synthesis run, and timing signoff on its roadmap passes through it. NVIDIA is consolidating a dual-scheduler estate onto a single LSF platform and is seeking an engineer with deep knowledge of LSF internals, beyond configuration files.

This is a deep-specialist role responsible for addressing scheduling latency and diagnosing issues that are not explained by standard logs.

Responsibilities

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

Requirements

• Bachelor's or master's degree in Computer Science, Computer Engineering, or equivalent experience.
• 8+ years of experience in HPC or large-scale batch compute, including 5+ years with IBM Spectrum LSF.
• Demonstrated depth in LSF internals, including the ability to debug scheduler behavior beyond the documentation and explain a scheduling cycle from submission to dispatch.
• Hands-on MultiCluster experience in a production, multi-site environment.
• Strong Linux systems fundamentals.
• Experience with system programming languages and scripting in Python, Perl, and shell.

Preferred Qualifications

• Experience working on LSF as a developer or in escalation engineering rather than only as a consumer of it.
• Experience with LSF integration points such as esub, eexec, elim, submit wrappers, RTM, or LSF APIs.
• Background in semiconductor or EDA compute, where license constraints and job constraints compete.
• Experience migrating a production environment from Slurm, PBS, or Grid Engine without a scheduled outage noticed by users.

Compensation And Benefits

The base salary range is $184,000–$287,500 for Level 4 and $224,000–$356,500 for Level 5. Compensation is determined based on location, experience, and the pay of employees in similar positions. The role is also eligible for equity and benefits.

Applications will be accepted at least until August 24, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes and is an equal opportunity employer.