Senior HPC Scheduler Engineer - LSF/Slurm, Equity

NVIDIA Corporation; North Carolina; On-site; USD 152,000 - 242,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA Corporation is hiring for a role within the Hardware Infrastructure EDA Compute team in the United States. You will optimize, scale, and support workload scheduling systems (LSF, Slurm) across multi-site environments to improve compute efficiency and design velocity.

You will drive observability, reliability, and automation, partnering with customers and stakeholders to deliver measurable improvements while aligning with long-term engineering demands.

Qualifications

• Bachelor's degree in Computer Science or related field or equivalent experience.
• 5+ years of experience operating and supporting large-scale Linux-based compute infrastructure.
• Strong hands-on experience supporting and tuning job scheduling systems (LSF, Slurm, etc.) in HPC or silicon design environments.
• Proficiency in Linux systems administration (CentOS/RHEL).
• Strong problem solving skills and the ability to analyze complex system behavior under load.
• Clear and effective communication skills, including the ability to articulate technical tradeoffs and reliability metrics to engineering stakeholders.

Responsibilities

• Manage, scale, and optimize job scheduling systems (LSF, Slurm, etc.) in a large-scale, multi-site environment.
• Analyze scheduler and infrastructure performance data to identify bottlenecks and drive improvements.
• Lead problem solving across scheduler, OS, and workload layers for timely resolutions.
• Identify recurring operational challenges and implement automation or process improvements.
• Help define and track reliability metrics and SLOs for service performance.
• Contribute to operational standards, documentation, and best practices.
• Partner with customer teams to clarify requirements and drive issues to closure.

Skills

LSF/Slurm tuning

Linux administration

Performance analysis

Automation scripting

Observability tooling

Container tech (Docker/Singularity/Pod

Education

Bachelor's degree in Computer Science or related field

Tools

Docker

Singularity

Podman

Job description

NVIDIA Corporation is hiring for a role within the Hardware Infrastructure EDA Compute team in the United States. You will optimize, scale, and support workload scheduling systems (LSF, Slurm) across multi-site environments to improve compute efficiency and design velocity.

You will drive observability, reliability, and automation, partnering with customers and stakeholders to deliver measurable improvements while aligning with long-term engineering demands.