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# HPC and LSF Operations Engineer

- **Company:** NVIDIA Corporation
- **Location:** Santa Clara, CA, United States
- **Experience:** Expert
- **Salary:** $152,000.0 - $241,500.0
- **Contract:** Permanent contract
- **Skills:** CentOS, Linux, Job Scheduling, Linux System Administration, Performance Tuning, Red Hat Enterprise Linux, Reliability Engineering, Information Technology, Slurm, Hardware Infrastructure
- **Published:** October 12, 2026
- **Apply:** https://www.juju.com/job/1_ScrapingHub33470-JR2014127

## About the Role

tradeoffs, and drive issues to closure What we need to see: + 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, etc.) in HPC or silicon design environments + Proficiency in Linux systems administration (CentOS/RHEL) + Strong problem solving skills and the ability to independently analyze complex system behavior under load + Clear and effective communication skills, including the ability to articulate technical tradeoffs and reliability metrics to engineering stakeholders Ways to stand out from the crowd: + Experience implementing reliability engineering practices within HPC scheduling environments + Deep knowledge of job scheduling systems (LSF, Slurm, etc.) configuration tuning, scheduler internals, and advanced troubleshooting techniques +, Experience building

## Description

US, CA, Santa Clara US, MA, Westford US, TX, Austin US, NC, Durham Full time JR2014127 As a member of the Hardware Infrastructure EDA Compute team, you will optimize, scale, and support workload scheduling systems that directly impact design velocity and infrastructure efficiency.
Success in this role requires both operational precision along with developing and supporting forward-looking resource management solutions that address evolving compute demands.
Beyond day-to-day operations, the role drives improvements in observability, service reliability, and automation, ensuring the EDA compute environment remains resilient, measurable, and aligned with long-term engineering demands.
What you'll be doing: + 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 systemic bottlenecks and drive measurable 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 targeted automation or process improvements to reduce manual effort and prevent repeat incidents + Help define and track reliable metrics and SLOs for service performance and reliability, partnering with customers to ensure expectations are realistic and measurable + Contribute to operational standards, documentation, and best practices to improve consistency across sites + Partner directly with customer teams to clarify requirements, translate technical