NVIDIA end-to-end network management solutions enable monitoring, management, analytics and visibility. Backed by Sequoia.
About the role
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. 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.
More about this role
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.
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...
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