DevOps Engineer

Posted 18 Days Ago
Be an Early Applicant
Raanana, ISR
In-Office
Junior
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Build and maintain bare-metal infrastructure, improve CI/CD pipelines, and support development, integration, verification, and performance testing for next-generation storage solutions. The role requires strong hardware, Linux, automation, scripting, virtualization, container orchestration, configuration management, and source-control expertise, along with Python development experience.
Summary Generated by Built In

We are looking for a DevOps/Verification Engineer with extensive hardware and IT infrastructure knowledge. The position includes researching, creating, and handling the automated build and deployment process for our Storage solutions. You will have a unique opportunity to have a real impact in a dynamic, technology-focused company shaping the future of data-center technologies. If you bring with your excellence and creative thinking while solving issues as they arise, and if you enjoy working with distributed teams - your place is with us!

What You’ll Be Doing:

  • Build & maintain our bare-metal infrastructure based on pioneering technologies and high-end hardware.

  • Drive continual improvements to our CI/CD pipelines.

  • Participate actively in the development, integration, verification, and performance during R&D on next-generation Storage solutions.

What We Need To See:

  • 2+ years of experience in developing CI/CD processes and DevOps contribution with a real passion for automation (Jenkins, GitLab CI).

  • Extensive experience with hardware and bare-metal infrastructure.

  • 2+ years of experience in writing programs using Python.

  • 2+ years of experience in Linux distributions (CentOS, Ubuntu, SLES, RedHat).

  • Good background in scripting (Bash, Ruby, Groovy) in Unix/Linux environment.

  • Good knowledge of virtualization in Linux (QEMU/KVM), Container orchestration with Kubernetes.

  • Experience in configuration and deployment management (Ansible).

  • Expertise in Source control infrastructure (Github, GitLab, Gerrit).

  • Understanding of Linux packaging software (.rpm, .deb).

  • Higher IT or Technical Education.

Ways To Stand Out From The Crowd:

  • Experience with PyTest or related testing frameworks.

  • Good understanding of C/C++ toolchain in Linux including cross-compilation and different build tools (make, cmake, meson).

  • Experience in developing modern Software Verification Systems.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you are creative and autonomous, we want to hear from you!

NVIDIA is committed to encouraging a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Skills Required

  • 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
  • 2+ years of experience writing programs in Python
  • 2+ years of experience with Linux distributions, including CentOS, Ubuntu, SLES, or Red Hat
  • Good scripting background with Bash, Ruby, or Groovy in Unix/Linux environments
  • Knowledge of Linux virtualization using QEMU/KVM
  • Knowledge of Kubernetes container orchestration
  • Experience with configuration and deployment management using Ansible
  • Expertise with GitHub, GitLab, or Gerrit source-control infrastructure
  • Understanding of Linux packaging formats, including RPM and DEB
  • Higher IT or technical education
  • Experience with PyTest or related testing frameworks
  • Understanding of the C/C++ toolchain in Linux, including cross-compilation and Make, CMake, or Meson
  • Experience developing modern software verification systems

NVIDIA Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.

  • Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
  • Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
  • Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.

NVIDIA Insights

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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

What We Do

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”

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