Senior Software Engineer - Kubernetes & AI Systems

NVIDIA Corporation; United States; Remote; USD 184,000 - 357,000; Full time

Job summary

NVIDIA is seeking an enthusiastic and experienced software engineer to ensure the reliable integration and deployment of components within our Kubernetes-based software stack powering the world's AI factories. You will design, implement, and maintain automated deployment and ensure compatibility with our latest hardware.

Qualifications include a CS degree or equivalent, 8+ years on Linux, Kubernetes and container tech, Python proficiency, Git and CI/CD experience, and strong cross-team

Qualifications

• Degree in Computer Science or related field, or equivalent experience.
• 8+ years of proven experience in software development on Linux platforms.
• Experience with Kubernetes and container technologies.
• Proficiency in Python with a focus on developing clean efficient code.
• Strong ability to collaborate across teams.
• Experience with version control (Git) and CI/CD pipelines.
• Our cluster management software is based on Linux. You should be experienced with Linux networking and security concepts.
• You are familiar with the most common software included in a typical Linux server installation.

Responsibilities

• Design, implement, and maintain automated deployment for components with robust, reusable code.
• Manage 3rd‑party dependencies: upgrades, compatibility checks, and breaking changes.
• Define validation workflows, collaborating with QA and CI/CD teams to ensure correctness.
• Ensure integration runs on NVIDIA hardware architectures.
• Troubleshoot cross‑component issues with developers and upstream projects.

Skills

Kubernetes

Python

Git

CI/CD

Linux networking

Shell scripting

C++

Distributed systems

System administration

Cross-team collaboration

Education

Degree in Computer Science or related field

Tools

Docker

Job description

NVIDIA is seeking an enthusiastic and experienced software engineer to ensure the reliable integration and deployment of components within our Kubernetes-based software stack powering the world's AI factories. You will design, implement, and maintain automated deployment and ensure compatibility with our latest hardware.

Qualifications include a CS degree or equivalent, 8+ years on Linux, Kubernetes and container tech, Python proficiency, Git and CI/CD experience, and strong cross-team