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Pre Production Engineer

NVIDIA· Engineer, Sys SW
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Taipei, TaiwanFull-timePosted 1mo ago

About the role

Join NVIDIA as a Pre Production Engineer in the DGX Cloud Engineering team to build and operate DSX OS pre-production environments for multi-tenant AI factory infrastructure, spanning Linux, Kubernetes, platform services, and ongoing operations.

Responsibilities

  • Build, operate, and improve DSX OS pre-production environments across multiple GPU platforms.
  • Drive initial environment setup, including server and OS provisioning, Kubernetes bootstrap, configuration, and GitOps-based deployment.
  • Manage ongoing operations, including troubleshooting, OS and software updates, and coordinated firmware rollouts.
  • Investigate issues across Linux hosts, container runtimes, networking, storage, Kubernetes, and platform services.
  • Develop and improve automation for provisioning, deployment, validation, and maintenance of environments.
  • Deploy and configure services through CI/CD and GitOps workflows, ensuring end-to-end connectivity and data persistence.
  • Collaborate with software development, QA, bring-up, networking, and production engineering teams to detail procedures, communicate risks, and resolve issues.

Qualifications

  • BS or MS in Computer Science, or equivalent experience.
  • 5+ years of hands-on software engineering experience.
  • Proven hands-on experience in software engineering, infrastructure, platform engineering, or SRE or equivalent experience.
  • Strong Kubernetes administration and troubleshooting skills, focusing on cluster or node lifecycle and related networking and storage dependencies.
  • Solid foundation in Linux and networking, with the ability to diagnose issues across the OS, container runtime, and Kubernetes layers.
  • Ability to develop, debug, test, and maintain automation or engineering tools, with a focus on error handling and safe operation.
  • Experience with Infrastructure as Code or configuration management tools such as Ansible or Terraform, and Git-based delivery workflows like CI/CD or GitOps or equivalent experience.
  • Good judgment in changing shared environments, assessing impacts, protecting data, and verifying recoveries.
  • Effective spoken and written communication in English, capable of explaining technical issues clearly and collaborating across teams and regions.

Skills

Required:Kubernetes administrationLinux and NetworkingAutomation tooling

Benefits

  • Competitive salaries
  • Generous benefits package
  • Equal opportunity employer with value for diversity
Last updated Oct 16, 2026. Interested? Apply on the company site.

About NVIDIA

World Leader in AI Computing

NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.

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