NVIDIA
NewYou'll develop and maintain CI/CD pipelines and infrastructure supporting NVIDIA's hardware and software products across bare-metal, virtualized, and containerized environments. The role requires three-plus years of hands-on DevOps experience, strong proficiency in Python, Bash, or Groovy, and deep knowledge of Linux, Docker, Kubernetes, and CI tools like Jenkins or GitLab CI. You'll collaborate with software engineers and verification teams to automate build and test processes and improve internal cloud tools.
Written from this posting by Neural Jobs AI. The full description is below.
NVIDIA is looking for a world class engineer to join its Infrastructure, Planning and Processes organization. The position will be part of a fast-paced crew that develops and maintains sophisticated build & test environments for a multitude of hardware platforms both NVIDIA DPU and Network Adapters. As a DevOps Engineer, you’ll also be working with various teams such as software engineering to deploy these new products and manage our infrastructure, associated processes and systems.
What you’ll be doing:
Develop and support continuous integration (CI/CD) processes and automation workflows for various hardware and software products.
Build and maintain infrastructure across bare-metal, virtualized, and containerized environments.
Collaborate with global software developers, verification teams, and performance analysts to streamline release efforts.
Drive continual improvements in automation infrastructure, internal cloud tools, and high-scale grid computing solutions.
What we need to see:
B.Sc. or M.Sc. in Computer Science, Computer Engineering, or a related technical discipline.
3+ years of hands-on DevOps and CI/CD experience.
Strong development skills in Python, Bash, or Groovy.
Deep understanding of Linux administration and distribution installation.
Proven knowledge of Docker and Kubernetes.
Experience with CI tools like Jenkins or GitLab CI, alongside Git SCM
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 on the planet working for us. If you're creative and autonomous, we want to hear from you!
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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NVIDIA builds the GPUs and the CUDA software stack that most modern AI is trained and served on, along with its own research in graphics, robotics and foundation models.
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