Senior HPC Scheduler (LSF/Slurm) Engineer

NVIDIA AI; Durham (NC); On-site; USD 152,000 - 288,000; Full time

Benefits offered by this job

Equity

Comprehensive benefits

Career growth opportunities

Job summary

NVIDIA is seeking an experienced engineer to optimize and operate a large-scale Linux compute infrastructure for EDA workloads. You will manage and scale job scheduling systems (LSF, Slurm) across multiple sites, analyze performance data, and drive reliability through automation and observability.

Ideal candidates have 5+ years of HPC experience, strong Linux skills, and the ability to communicate tradeoffs and metrics to engineering teams. This is a full-time role based in the United States.

Qualifications

• Bachelor's degree in CS or related field or equivalent experience.
• 5+ years operating large-scale Linux compute infrastructure.
• Hands-on tuning of LSF, Slurm or similar schedulers in HPC or silicon design.
• Proficient in Linux administration (CentOS/RHEL).
• Strong analytical and communication skills to explain tradeoffs and reliability metrics.

Responsibilities

• Manage, scale, and optimize job scheduling systems (LSF, Slurm) across sites.
• Analyze scheduler and infra data to improve utilization and throughput.
• Lead problem solving across scheduler, OS, and workload layers.
• Automate recurring tasks to reduce manual effort and incidents.
• Define and track metrics and SLOs for reliability with engineering stakeholders.
• Contribute to standards, docs, and best practices across sites.
• Collaborate with customer teams to clarify requirements and drive closure.

Skills

Linux administration

Scheduler tuning

HPC experience

Problem solving

Communication

OS troubleshooting

Education

Bachelor's degree in Computer Science or related field

Tools

LSF

Slurm

CentOS/RHEL

Job description

NVIDIA is seeking an experienced engineer to optimize and operate a large-scale Linux compute infrastructure for EDA workloads. You will manage and scale job scheduling systems (LSF, Slurm) across multiple sites, analyze performance data, and drive reliability through automation and observability.

Ideal candidates have 5+ years of HPC experience, strong Linux skills, and the ability to communicate tradeoffs and metrics to engineering teams. This is a full-time role based in the United States.