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Senior Compute Platform Engineer, LSF - EDA Infrastructure

NVIDIA nvidia.com Open
Remote United States Full-time Senior Platform & Infrastructure

At a glance

Senior Platform & Infrastructure role at NVIDIA. Remote, United States · full-time.

In listing Platform Engineer salary

RolePlatform & Infrastructure
SenioritySenior
LocationUnited States
WorkplaceRemote
EmploymentFull-time
PostedNov 6, 2026
Role brief

remoteroles summary, based on the employer's posting.

What you'll do

  • Tune mbatchd and mbschd, inspect scheduling cycles, and resolve contention as federated LSF cells near host-count limits
  • Trace MultiCluster forwarding and cross-cluster queue delays when users report slow compute without a clear fault
  • Design how cells are grouped and when growth calls for a new cell
  • Work with the IaC engineer on scheduler configuration that handles MultiCluster behavior at scale
  • Coordinate with CAD and methodology teams on large-memory jobs, interactive-versus-batch conflicts, and tape-out surges

What you bring

  • A computer science or computer engineering degree, or equivalent practical experience
  • At least eight years in HPC or large-scale batch computing, including five years with IBM Spectrum LSF
  • Deep LSF internals knowledge, including the ability to explain scheduling from job submission through dispatch
  • Production MultiCluster experience across multiple sites

Who this fits

This is a senior, deep-specialist engineering role for someone who can take escalations on LSF scheduler behavior. The position is remote in the United States.

From the employer

NVIDIA's silicon does not tape out without the farm behind it. Our EDA compute environment runs millions of cores across federated LSF cells, and every simulation, synthesis run, and timing signoff on our roadmap passes through it. We are consolidating a dual-scheduler estate onto a single LSF platform, and we are looking for an engineer who knows LSF at the level of its internals — not just its configuration files.

This is a deep-specialist role. You will be the person the team escalates to when scheduling latency creeps up and nothing in the logs explains why.

What you'll be doing:

  • Owning scheduler behavior across 15–25 federated LSF cells, including mbatchd and mbschd tuning, scheduling cycle analysis, and the contention patterns that appear as cells approach host-count ceilings.

  • Diagnosing MultiCluster forwarding problems — remote queue sizing, forwarding policy, cross-cluster pend behavior — where the symptom reported by users is "the farm is slow" rather than a clear failure.

  • Setting the technical design for cell topology and federation as the farm grows, and deciding what belongs in a cell versus what belongs in a new one.

  • Working with our IaC engineer to encode scheduler policy into a config schema that survives contact with MultiCluster, rather than one that looks clean and breaks at scale.

  • Partnering directly with CAD and methodology teams on workloads that break normal assumptions: 500GB+ memory jobs, interactive-versus-batch contention, and tape-out crunch bursts.

What we need to see:

  • BS or MS in Computer Science, Computer Engineering, or equivalent experience.

  • 8+ years in HPC or large-scale batch compute, with 5+ years of that on IBM Spectrum LSF.

  • Demonstrated depth in LSF internals — you have debugged scheduler behavior beyond what the documentation covers, and you can explain a scheduling cycle from submission to dispatch.

  • Hands-on MultiCluster experience in a production, multi-site environment.

  • Strong Linux systems fundamentals, system programming languages and scripting in Python, Perl, and shell.

Ways to stand out from the crowd:

  • You have worked on LSF as a developer or in escalation engineering, rather than only as a consumer of it.

  • Experience with LSF integration points: esub, eexec, elim, submit wrappers, RTM, or the LSF APIs.

  • Background in semiconductor or EDA compute, where license constraints and job constraints compete.

  • You have migrated a production estate off Slurm, PBS, or Grid Engine without a scheduled outage users noticed.

#LI Hybrid

Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are:
184,000 USD – 287,500 USD for Level 4; and 224,000 USD – 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until November 10, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Opportunity

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Each morning you get everything that fits, strongest first.

Platform & InfrastructureRemote

Find me work

By the team behind remoteroles.

Find me work
Opportunity

Platform & Infrastructure work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind remoteroles.