DevOps Engineer

Reposted 2 Days Ago
Be an Early Applicant
2 Locations
In-Office or Remote
Junior
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Design, build, and maintain automated infrastructure across bare-metal, virtualized, and containerized environments. Improve CI/CD pipelines, provide automation support for development and verification teams, and enhance reliability and scalability across Linux and Windows systems.
Summary Generated by Built In

We are looking for a DevOps Engineer with strong hardware and IT infrastructure knowledge. This role includes researching, building, and maintaining automated processes across advanced infrastructure environments, with a real opportunity to make an impact in a dynamic, technology-driven company. The ideal candidate brings technical excellence, creative problem-solving, and seamless integration of AI into daily work processes, while enabling efficient development and testing workflows across distributed engineering teams.

What You’ll Be Doing:

  • Build and maintain infrastructure across bare-metal, virtualized, and containerized environments using advanced technologies and high-end hardware.

  • Drive continuous improvements across CI/CD pipelines and automation workflows.

  • Provide infrastructure and automation support for development and verification teams, enabling efficient development and testing processes.

  • Support development and integration activities for next-generation infrastructure and software platforms.

  • Improve reliability, scalability, and operational efficiency across Linux- and Windows-based environments.

What We Need To See:

  • 2+ years of experience developing CI/CD processes and contributing in DevOps environments, with a strong passion for automation.

  • Hands-on experience with CI/CD tools such as Jenkins and GitLab CI.

  • Extensive experience with hardware-focused infrastructure, including bare-metal and virtualization platforms.

  • 2+ years of experience working with Linux distributions such as CentOS, Ubuntu, SLES, or Red Hat.

  • Strong scripting skills in Bash, Python, Groovy

  • Good knowledge of virtualization in Linux, including QEMU/KVM, and container orchestration with Kubernetes.

  • Experience with source control platforms such as GitHub and GitLab.

  • Understanding of Linux packaging software, including .rpm and .deb.

  • BSc in Computer Science, Engineering, Information Technology, or similar.

Ways to stand out from the crowd:

  • Experience with agentic AI tools, AI-driven automation, or integrating AI into DevOps workflows.

  • Strong networking knowledge, including TCP/IP, switching, routing, and troubleshooting in Linux- and Windows-based environments.

  • Experience with PyTest or similar testing frameworks.

  • Good understanding of the C/C++ toolchain in Linux, including cross-compilation and build tools such as make, cmake, and meson.

NVIDIA is committed to fostering a diverse workplace and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender, gender identity or expression, sexual orientation, age, marital status, veteran status, disability, or any other characteristic protected by law.

Skills Required

  • 2+ years developing CI/CD processes and contributing in DevOps environments
  • Hands-on experience with CI/CD tools such as Jenkins and GitLab CI
  • Extensive experience with hardware-focused infrastructure, including bare-metal and virtualization platforms
  • 2+ years working with Linux distributions such as CentOS, Ubuntu, SLES, or Red Hat
  • Strong scripting skills in Bash, Python, Groovy
  • Experience with Linux virtualization (QEMU/KVM) and container orchestration with Kubernetes
  • Experience with source control platforms such as GitHub and GitLab
  • Understanding of Linux packaging software, including .rpm and .deb
  • BSc in Computer Science, Engineering, Information Technology, or similar

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.

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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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