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Senior HPC DevOps Engineer

NVIDIA· Engineer, Dev Ops
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Tel Aviv, Israel, Yokneam, Israelnot explicitly statedPosted 2mo ago

About the role

Senior HPC DevOps Engineer at NVIDIA to design, implement, and maintain large-scale HPC/AI clusters, focusing on at-scale system design, deployment automation, and performance optimization across GPU computing and AI workloads.

Responsibilities

  • Innovate and Implement: Design, implement, and maintain large-scale HPC/AI clusters with state-of-the-art monitoring, logging, and alerting systems.
  • Infrastructure as Code (IaC): Utilize and develop tools to manage infrastructure as code, ensuring scalable and repeatable deployments.
  • Streamline CI/CD Pipelines: Develop and maintain continuous integration and continuous delivery (CI/CD) pipelines to automate and streamline deployment processes.
  • Automate Everything: Develop automation scripts and tools to automate deployment, configuration management, and operational monitoring.
  • Develop complex Networking automations.
  • Troubleshoot Complex Issues: Perform comprehensive troubleshooting from bare metal to application level, ensuring system reliability and efficiency.
  • Lead and Educate: Serve as a technical resource, developing and sharing best practices with internal teams.
  • Drive Innovation: Support R&D activities and engage in proof of concepts (POCs) and proof of values (POVs) for future improvements.

Qualifications

  • B.Sc. in Computer Science, Engineering, or a related field
  • 5+ years of experience
  • Advanced proficiency in programming and scripting languages, with a solid understanding of object-oriented programming principles
  • Familiarity with Jenkins, Ansible, Puppet/Chef
  • Deep understanding of Kubernetes and container-related microservice technologies
  • Hands-on experience with event streaming or message queue technologies e.g. Apache Kafka
  • Experience with multiple storage solutions like Lustre, GPFS, ZFS, and XFS; Expertise with virtual systems (VMware, Hyper-V, KVM, Citrix)
  • Familiarity with cloud platforms (AWS, Azure, Google Cloud)

Skills

Required:Programming and scripting proficiencyJenkinsConfiguration management toolsKubernetes and container technologiesEvent streaming / messagingStorage solutionsVirtualizationCloud platforms

Benefits

  • not specified in the description
Last updated Aug 14, 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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