Senior DevOps Engineer, Infrastructure Automation

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2 Locations
In-Office
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role

We are seeking a highly skilled Senior DevOps Engineer to join our infrastructure team. This is a unique opportunity to be the cornerstone of our DevOps practice, taking full ownership of the critical systems that power our engineering innovation. You will be responsible for the entire DevOps landscape, from our CI/CD pipelines to our kernel build systems, driving efficiency and reliability across the organization. You will work with autonomy to design and implement the best solutions and collaborate with external partners to achieve our goals. If you are a creative and driven engineer who thrives on building and improving development ecosystems, we want you with us.

What you will be doing:

  • Manage the full lifecycle of our CI/CD platforms, including Jenkins jobs and Gerrit.

  • Oversee the build process for the Linux kernel and related software packages.

  • Handle the creation of our Linux OS images and the versioning of the resulting software tools.

  • Develop and own critical engineering tools, including utilities for bisection and code coverage.

  • Collaborate on developing AI-driven solutions to improve and automate our engineering workflows.

What we need to see:

  • Bachelor's degree in Computer Science, Software Engineering, or a related field.

  • 5+ years of proven experience in a DevOps role.

  • Strong experience and proficiency in Python.

  • Ability to work independently, take full ownership of the DevOps domain, and deliver results with minimal supervision.

  • Strong problem-solving skills and the ability to work effectively in a collaborative environment.

  • Outstanding verbal English skills are important for our multilingual team.

Ways to stand out from the crowd:

  • Profound knowledge of AI applications and their practical use in achieving greater DevOps efficiency.

  • Deep understanding of the Linux kernel and networking.

  • Experience in defining and leading the DevOps strategy for a team or organization.

NVIDIA is committed to fostering 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.

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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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