Senior HPC Scheduler & Reliability Engineer (LSF/Slurm)

NVIDIA Corporation; Massachusetts; On-site; USD 152,000 - 288,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA Corporation seeks an experienced Systems Engineer to optimize and scale workload scheduling for EDA compute environments, improving reliability, observability, and efficiency across multiple sites. You will work on LSF, Slurm, and Linux-based infrastructure while collaborating with customer teams to meet evolving compute demands.

The role emphasizes automation, metrics, and reliability engineering, with equity and benefits offered.

Qualifications

• Bachelor's degree in Computer Science or related field, or equivalent experience.
• Minimum 5+ years of experience operating and supporting large-scale Linux-based compute infrastructure.
• 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 for engineering stakeholders.

Responsibilities

• Manage, scale, and optimize job scheduling systems (LSF, Slurm, etc.) in a large-scale, multi-site environment supporting EDA and other compute-intensive workloads.
• Analyze scheduler and infrastructure performance data to identify bottlenecks and drive improvements in utilization, throughput, and turnaround time.
• Lead problem solving across scheduler, OS, and workload layers, ensuring timely resolution of service-impacting issues.
• Identify recurring operational challenges and implement automation or process improvements to reduce manual effort.
• Help define and track reliable metrics and SLOs for service performance and reliability, partnering with customers.

Job description

NVIDIA Corporation seeks an experienced Systems Engineer to optimize and scale workload scheduling for EDA compute environments, improving reliability, observability, and efficiency across multiple sites. You will work on LSF, Slurm, and Linux-based infrastructure while collaborating with customer teams to meet evolving compute demands.

The role emphasizes automation, metrics, and reliability engineering, with equity and benefits offered.