Jobs · Information Technology · California

HPC Systems Administrator (Hardware & Infrastructure Operations)

Stanford University · Stanford, CA · 1 wk ago
On-siteInformation Technology$150k–$172k/yrFull-time

Primary Responsibilities

  • Lead the physical deployment, burn-in, troubleshooting, and decommissioning of compute nodes, GPU servers, and high-density storage systems.
  • Perform troubleshooting on hardware issues—such as memory errors, GPU thermal throttling, network failures—and coordinate with vendors for support and replacements.
  • Collaborate with the data centers team to plan and manage hardware deployments.
  • Provision and automate testing to ensure rapid, consistent deployment of cluster images across the fleet.
  • Refine hardware-level monitoring to proactively identify failing components before they impact active research jobs.

Qualifications

  • Education: Bachelor’s degree and eight years of relevant experience, or a combination of education and relevant experience.
  • Experience: 3-5+ years of experience in Linux Systems Administration, with a strong preference for candidates from HPC, largescale data center, or research environments.
  • Hardware Proficiency: Solid understanding of x86 server architecture, GPU systems, ethernet, and high-performance interconnects.
  • Scripting: Proficiency in scripting languages for automating hardware health checks, log parsing, and routine maintenance tasks.
  • Infrastructure Management: Experience using configuration management tools to manage hardware settings and firmware versions at scale.
  • Experience working with data center teams to populate and maintain DCIM solutions preferred.

Physical Requirements

  • Ability to lift up to 50 lbs and work comfortably in a data center environment, including racking equipment and managing complex cable topologies.

Communication

  • Strong written and verbal communication skills.

Preferred Skills

  • Direct experience maintaining hardware for HPC systems and large scale storage systems.
  • Familiarity with the Slurm workload manager and how hardware health impacts job scheduling.
  • Exposure to liquid cooling solutions or high-density rack power management.

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