Nvidia

Senior HPC Site Reliability Engineer

Nvidia
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23 hours ago
Tel Aviv-Yafo, IsraelSenior

Responsibilities

  • Lead the design and implementation of a large-scale compute cloud for chip modeling, design, and deep learning workloads.
  • Identify architectural improvements and innovative approaches for private cloud architecture.
  • Address resource utilization in heterogeneous compute environments, private/public cloud strategy, capacity modeling, and multi-year global scaling.
  • Deploy and operate HPC schedulers, configuration management systems, public cloud services, containerized services, and distributed storage solutions.
  • Recommend and implement solutions that improve operating system performance and infrastructure reliability.

Requirements

  • Bachelor of Science in Computer Science, Electrical Engineering, or a related field, or equivalent experience.
  • 8+ years of experience designing and operating large-scale compute infrastructure.
  • Experience with IBM/Platform LSF, SGE, SLURM, Marathon, or Chronos job schedulers.
  • Strong understanding of Ansible, Puppet, Chef, or Salt configuration management tools.
  • Experience providing compute services using AWS, Azure, or Google Cloud.
  • Strong scripting skills in Python, Bash, or Perl.
  • Knowledge of or experience deploying Docker, Docker Swarm, or Kubernetes PaaS microservices.
  • Understanding of distributed and network-attached storage solutions and Linux filesystems, with the ability to improve operating system performance and reliability.
  • Linux certification from a recognized vendor such as RedHat or Oracle is preferred.
  • Production experience managing large-scale Kubernetes deployments is preferred.
  • Strong modern container networking and storage architecture skills are preferred.

Tech Stack

AnsibleAWSAzureBashChefDockerGoogle CloudKubernetesLinuxPerlPuppetPython

Categories

DevOpsSite Reliability
Nvidia

About Nvidia

10,000+ employees

Nvidia designs and sells GPUs and accelerated computing platforms for data centers, AI/ML, graphics, gaming, and automotive, monetizing through hardware, software platforms (CUDA, AI frameworks), and systems like DGX and networking. Customers include cloud providers, enterprises, researchers, and OEMs. Founded in 1993 and headquartered in Santa Clara, it is a public company traded on NASDAQ under NVDA.

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