Nvidia

DevOps Engineer

Nvidia
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1 month ago
Ra‘ananna, IsraelMid Level

Responsibilities

  • Build and maintain bare-metal infrastructure using high-end hardware.
  • Improve and manage CI/CD pipelines and automated build and deployment processes.
  • Participate in development, integration, verification, and performance activities for next-generation storage solutions.
  • Research and resolve infrastructure and automation issues in a distributed team environment.

Requirements

  • At least 2 years of experience developing CI/CD processes and contributing to DevOps automation using Jenkins or GitLab CI.
  • Extensive experience with hardware and bare-metal infrastructure.
  • At least 2 years of experience writing programs in Python.
  • At least 2 years of experience with Linux distributions including CentOS, Ubuntu, SLES, and RedHat.
  • Good scripting experience with Bash, Ruby, and Groovy in Unix/Linux environments.
  • Knowledge of Linux virtualization with QEMU/KVM and container orchestration with Kubernetes.
  • Experience with configuration and deployment management using Ansible.
  • Expertise in source-control infrastructure including GitHub, GitLab, and Gerrit.
  • Understanding of Linux packaging formats including RPM and DEB.
  • Higher IT or technical education.
  • Preferred: experience with PyTest or related testing frameworks.
  • Preferred: understanding of C/C++ toolchains, cross-compilation, and build tools including Make, CMake, and Meson.
  • Preferred: experience developing modern software verification systems.

Benefits

  • The posting describes a dynamic, technology-focused work environment focused on data-center technologies.
  • The role involves working with distributed teams and next-generation storage R&D.
  • NVIDIA states that it is an equal opportunity employer committed to a diverse work environment.

Tech Stack

AnsibleBashCC++CMakeGitLab CI/CDGroovyJenkinsKubernetesLinuxMakepytestPythonRuby

Categories

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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