HPC Linux Engineer: Kubernetes & High-Performance Infra

KLA

Milpitas (CA)

On-site

USD 136,000 - 200,000

Full time

5 days ago
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Benefits offered by this job

Medical, dental, vision
401(k) including company matching
Tuition reimbursement

Job summary

KLA in Milpitas, CA seeks a highly skilled engineer to architect, deploy, and support scalable Kubernetes environments on Linux-based HPC platforms. You will work at the intersection of Linux systems engineering, networking, and automation to drive performance and reliability for advanced semiconductor inspection systems.

The role emphasizes HPC compute, GPU and storage technologies, with exposure to Ansible/Salt/Chef/Puppet and infrastructure as code.

Qualifications

  • Deep expertise administering and troubleshooting enterprise Linux environments (Red Hat, Rocky Linux, Ubuntu, SUSE).
  • Strong hands‑on experience designing, deploying, and maintaining Kubernetes clusters in production environments.
  • Deep understanding of networking fundamentals, including TCP/IP, DNS, DHCP, HTTP, LDAP, SMTP, routing, switching, and network troubleshooting.
  • Experience working with server networking infrastructure, high‑speed interconnects, and external switching environments.
  • Strong knowledge of HPC architectures, including compute servers, GPU platforms, storage systems, BIOS/BMC technologies, and cluster infrastructure.
  • Experience with Linux services and technologies including SystemD, PXE/NetBoot, Linux High Availability, and system automation.
  • Experience supporting scalable and resilient storage platforms in HPC or data center environments.
  • Proficiency in Shell and Python scripting for automation, deployment, and operational support.
  • Experience with Infrastructure as Code and configuration management tools such as Ansible (preferred), Salt, Chef, or Puppet.
  • Experience supporting containerized workloads and cloud‑native infrastructure is highly preferred.

Responsibilities

  • Architect, deploy, and support Kubernetes clusters running on enterprise Linux platforms across HPC environments.
  • Design, configure, and optimize Linux‑based compute infrastructure with a focus on scalability, performance, reliability, and automation.
  • Lead networking architecture and troubleshooting across servers, switches, storage systems, and Kubernetes environments, ensuring high availability and low‑latency communication.
  • Support high‑performance compute clusters consisting of cutting‑edge CPU and GPU technologies.
  • Configure and maintain Linux operating systems including Red Hat, Rocky Linux, Ubuntu, and SUSE.
  • Develop and automate infrastructure deployment, provisioning, and lifecycle management using scripting and configuration management tools.
  • Collaborate with hardware vendors to define, validate, and release computer, networking, and storage solutions.
  • Generate hardware BOMs and lead infrastructure qualification, release, and deployment activities.
  • Support scalable storage architectures and high‑bandwidth interconnect technologies critical to HPC workloads.
  • Create and maintain golden images, deployment procedures, automation scripts, and technical documentation for manufacturing and customer support organizations.
  • Ensure system designs meet performance, availability, and scalability requirements while driving projects to successful completion.

Skills

Linux administration
Kubernetes in production
Networking fundamentals
HPC architectures
Shell scripting
Python scripting
Infrastructure as Code
Containerized workloads

Education

PhD
Master's degree
Bachelor's degree

Tools

Ansible
Salt
Chef
Puppet

Job description

KLA in Milpitas, CA seeks a highly skilled engineer to architect, deploy, and support scalable Kubernetes environments on Linux-based HPC platforms. You will work at the intersection of Linux systems engineering, networking, and automation to drive performance and reliability for advanced semiconductor inspection systems.

The role emphasizes HPC compute, GPU and storage technologies, with exposure to Ansible/Salt/Chef/Puppet and infrastructure as code.

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