Senior HPC Scheduler & Reliability Engineer — Equity Eligible

NVIDIA Corporation; Santa Clara (CA); On-site; USD 152,000 - 242,000; Full time

Benefits offered by this job

Equity compensation

Benefits package

Job summary

NVIDIA is seeking an experienced HPC scheduler and systems engineer to optimize and scale Linux-based compute infrastructure across multiple sites. You will manage LSF/Slurm workloads for EDA and other compute-heavy tasks, drive improvements in utilization, throughput, and reliability, and automate recurring issues to reduce manual effort.

You will collaborate with stakeholders to define metrics and SLOs, document best practices, and ensure a resilient compute environment that supports evolving

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.
• Strong hands-on experience supporting and tuning job scheduling systems (LSF, Slurm) in HPC 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) in a large-scale, multi-site environment.
• Analyze scheduler and infrastructure performance data to identify bottlenecks and improve utilization and throughput.
• 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 metrics and SLOs for service performance and reliability.
• Contribute to standards, documentation, and best practices across sites.
• Partner with customer teams to clarify requirements and drive issues to closure.

Skills

Linux administration

HPC environments

Job scheduling

Analytical problem solving

Clear communication

Education

Bachelor’s degree in Computer Science or related field

Tools

LSF

Slurm

CentOS/RHEL

Job description

NVIDIA is seeking an experienced HPC scheduler and systems engineer to optimize and scale Linux-based compute infrastructure across multiple sites. You will manage LSF/Slurm workloads for EDA and other compute-heavy tasks, drive improvements in utilization, throughput, and reliability, and automate recurring issues to reduce manual effort.

You will collaborate with stakeholders to define metrics and SLOs, document best practices, and ensure a resilient compute environment that supports evolving