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NVIDIA

Designs the chips and software that power AI

HPC Operations Engineer - EDA Infrastructure

System AdministrationUpdated on Nov 10
Full-time

About the Job

Requirements

  • A bachelor's degree in Computer Science, Information Technology, Engineering, or a related field, or equivalent experience.
  • At least 2 years of experience supporting Linux-based production environments.
  • Solid Linux systems administration fundamentals, including RHEL/CentOS and/or Ubuntu.
  • Ability to troubleshoot technical issues methodically and determine when a customer concern requires attention.
  • Experience interacting directly with users in a technical support or operations role.
  • Strong written communication skills to produce clear documentation and procedural guides.
  • Demonstrated ability to follow established processes while maintaining attention to detail.

Responsibilities

  • Provide first-line support for HPC users across scheduling, compute, storage, and access-related issues.
  • Troubleshoot job failures, scheduler errors, resource constraints, and performance concerns, driving issues to resolution or appropriate customer concern.
  • Triage infrastructure incidents, gather diagnostics, and escalate issues to subject matter experts when they extend beyond defined ownership.
  • Monitor system health, queues, node status, and service availability to ensure stable daily operations.
  • Complete established operational procedures for maintenance, patching, and configuration updates.
  • Develop and maintain operational documentation, runbooks, knowledge base articles, and guidelines for users and internal teams.
  • Identify recurring issues and propose practical workflow refinements to improve team processes.

Desired Qualifications

  • Foundational scripting or automation experience, such as Bash or Python, to support routine operational tasks.
  • Solid understanding of workload schedulers such as LSF, Slurm, or similar systems.
  • Strong grasp of network computing supporting infrastructure, including NFS, automounter, and LDAP.
  • Experience supporting HPC or large-scale compute environments.
  • Familiarity with EDA workloads.

About the Company

NVIDIA

Designs the chips and software that power AI

NVIDIA designs the chips and software that power artificial intelligence and sells complete data center systems to cloud providers, AI labs, and other businesses, along with GeForce graphics cards for gamers. Its GPUs, chips that perform thousands of calculations at once, became the main hardware for AI after researchers used them to train the AlexNet image-recognition model in 2012. NVIDIA connects many GPUs with its own processors and networking gear into servers and rack-sized computers, and developers program them through its CUDA software. These systems bring in most of its sales, and it also makes chips for cars and robots. Jensen Huang co-founded NVIDIA in 1993, and it is based in Santa Clara, California.

Company size
10,001+
Company stage
IPO
Headquarters
Santa Clara, CA
Founded
1993

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