Senior Kubernetes Integration Engineer (Python)

NVIDIA Corporation; California; Hybrid; USD 184,000 - 357,000; Full time

Job summary

NVIDIA Corporation in California seeks an enthusiastic software engineer to ensure reliable integration and deployment of components within a Kubernetes-based software stack powering AI factories. You will design, implement, and maintain automated deployment, manage 3rd party dependencies, validate integration, and work closely with QA/CI/CD teams to ensure compatibility on NVIDIA hardware.

Experience with Linux, Python, Git, and container technologies is essential, with bonus for C++ and shell

Qualifications

• Degree in Computer Science or related field or equivalent experience.
• 8+ years of proven software development experience on Linux platforms.
• Experience with Kubernetes and container technologies.
• Proficiency in Python with clean, efficient code.
• Strong collaboration across teams.
• Experience with Git and CI/CD pipelines.
• Linux-based cluster management and security concepts.
• Familiar with common Linux server software.

Responsibilities

• Implement and improve integration among software components: design, implement, and maintain automated deployment for the components.
• Manage 3rd party dependency versions and upgrades, validate compatibility, and address breaking changes.
• Define and maintain validation workflows to ensure the correctness of component integration.
• Collaborate closely with QA and CI/CD teams.
• Ensure the integration works on the latest NVIDIA hardware technologies.
• Troubleshoot cross-component issues and coordinate with development teams and upstream projects.

Skills

Python

Linux

Team collaboration

Containerization

Education

Degree in Computer Science or related field

8+ years of software development experience

Tools

Kubernetes

Git

CI/CD pipelines

Linux networking

Shell scripting

C++

Job description

NVIDIA Corporation in California seeks an enthusiastic software engineer to ensure reliable integration and deployment of components within a Kubernetes-based software stack powering AI factories. You will design, implement, and maintain automated deployment, manage 3rd party dependencies, validate integration, and work closely with QA/CI/CD teams to ensure compatibility on NVIDIA hardware.

Experience with Linux, Python, Git, and container technologies is essential, with bonus for C++ and shell