NVIDIA

NVIDIA

Posted via Workday

Senior HPC and LSF Operations Engineer

Posted Aug 5, 2026

Role at a glance

Salary
$152K – $287.5K/yr
Location
Santa Clara, California, United States
Work arrangement
Hybrid
Employment
Full-time
Experience
Minimum 5+ years of experience operating and supporting large-scale Linux-based compute infrastructure
Education
Bachelor’s degree in Computer Science or related field, or equivalent experience

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Role Summary

AI-generated

The Hardware Infrastructure EDA Compute team operates and improves large-scale, multi-site scheduling systems that support EDA and other compute-intensive workloads. The role focuses on resource management, observability, service reliability, automation, and customer collaboration to improve the resilience and efficiency of the EDA compute environment.

What You'll Do

  • Manage, scale, and optimize job scheduling systems such as LSF and Slurm in a large-scale, multi-site environment.
  • Analyze scheduler and infrastructure performance data to identify bottlenecks and improve utilization, throughput, and turnaround time.
  • Lead problem solving across scheduler, OS, and workload layers to resolve service-impacting issues.
  • Implement automation and process improvements to reduce manual effort and prevent repeat incidents.
  • Define and track service performance and reliability metrics and SLOs with customer teams.
  • Contribute to operational standards, documentation, and best practices across sites.

Generated from the employer's posting. Verify important details before applying.

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Qualifications

Bachelor’s degree in Computer Science or related field, or equivalent experience; minimum 5+ years operating and supporting large-scale Linux-based compute infrastructure; hands-on experience supporting and tuning LSF, Slurm, or similar job scheduling systems in HPC or silicon design environments; proficiency in Linux systems administration, including CentOS/RHEL; strong problem solving and communication skills.

Required

  • 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...

Preferred

  • 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...
  • Experience building or enhancing observability systems, including metrics collection, monitoring pipelines, alerting strategies, and...
  • Background with container technologies such as Docker, Singularity, or Podman in HPC environments
  • Experience influencing adoption of new infrastructure standards across multiple teams or sites

Original job description

Content provided by the employer

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 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 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 adoption of new infrastructure standards across multiple teams or sites


NVIDIA offers highly competitive salaries and a comprehensive benefits package. We have some of the most forward-thinking and hardworking people in the world on our team and our collaborative talent continues to drive NVIDIA's growth. We are seeking creative and independent engineers with real passion for technology!

#LI-Hybrid 

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until July 24, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA

About the company

NVIDIA

Large Enterprise

NVIDIA is a leading technology company renowned for its graphics processing units (GPUs) and innovative computing solutions that enhance visual experiences across multiple platforms, including gaming, scientific research, and artificial intelligence. Founded in 1993, the company has expanded its offerings to include powerful AI frameworks and deep learning platforms, making significant contributions to industries such as gaming, data centers, automotive, and healthcare. NVIDIA's commitment to pushing the boundaries of visual computing continues to drive advancements in both hardware and software, positioning the company at the forefront of emerging technologies and digital transformation.