Senior HPC Scheduler & Automation Engineer – Equity

NVIDIA Corporation; United States; Remote; USD 152,000 - 242,000; Full time

Benefits offered by this job

Equity

Comprehensive benefits

Job summary

NVIDIA Corporation is seeking an experienced HPC compute systems engineer in the United States to optimize and scale job scheduling across large, multi-site environments. You will drive reliability, observability, and automation for EDA compute workloads.

The role requires 5+ years of Linux-based infrastructure experience and hands-on tuning of LSF/Slurm, plus strong communication with engineering stakeholders. Equity and benefits are provided.

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.
• Hands-on experience tuning job scheduling systems (LSF, Slurm) in HPC or silicon design environments.
• Proficiency in Linux systems administration (CentOS/RHEL).
• Strong problem solving skills and ability to analyze complex system behavior under load.
• Clear and effective communication with 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.
• Lead problem solving across scheduler, OS, and workload layers to resolve issues.
• Implement automation to reduce manual effort and prevent repeat incidents.
• Define and track metrics and SLOs for service performance and reliability.
• Contribute to standards, documentation, and best practices across sites.
• Collaborate with customer teams to translate requirements and drive issues to closure.

Skills

HPC scheduling

Linux administration

Automation

Observability

Problem solving

Education

Bachelor’s degree in Computer Science

Tools

LSF

Slurm

CentOS/RHEL

Job description

NVIDIA Corporation is seeking an experienced HPC compute systems engineer in the United States to optimize and scale job scheduling across large, multi-site environments. You will drive reliability, observability, and automation for EDA compute workloads.

The role requires 5+ years of Linux-based infrastructure experience and hands-on tuning of LSF/Slurm, plus strong communication with engineering stakeholders. Equity and benefits are provided.