Senior HPC and LSF Operations Engineer

Details

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 operational precision as well as the development and support of 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.

Responsibilities

• Manage, scale, and optimize job scheduling systems, including LSF and Slurm, 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, operating system, 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 service-level objectives (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 trade-offs, and drive issues to closure.

Requirements

• Bachelor’s degree in Computer Science or a related field, or equivalent experience.
• At least 5 years of experience operating and supporting large-scale, Linux-based compute infrastructure.
• Strong hands-on experience supporting and tuning job scheduling systems such as LSF and Slurm in HPC or silicon design environments.
• Proficiency in Linux systems administration, including CentOS and 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 trade-offs and reliability metrics to engineering stakeholders.

Preferred Qualifications

• Experience implementing reliability engineering practices within HPC scheduling environments.
• Deep knowledge of job scheduling system configuration and tuning, scheduler internals, and advanced troubleshooting techniques.
• Experience building or enhancing observability systems, including metrics collection, monitoring pipelines, alerting strategies, and performance dashboards.
• Background with container technologies such as Docker, Singularity, or Podman in HPC environments.
• Experience influencing the adoption of new infrastructure standards across multiple teams or sites.

Benefits

NVIDIA offers competitive salaries, equity, and a comprehensive benefits package. The base salary range is USD 152,000–241,500 for Level 3 and USD 184,000–287,500 for Level 4. The position is full time and hybrid. NVIDIA is an equal opportunity employer committed to fostering an inclusive work environment.