Lead Kubernetes integration and Python development at NVIDIA, building reliable deployments for complex software powering AI factories. Linux expertise is central.
As a senior software engineer, you will integrate components across NVIDIA’s Kubernetes-based software stack. The work combines automated deployment, dependency management, validation workflows, and troubleshooting. You will collaborate with QA, CI/CD teams, development groups, and upstream projects to resolve cross-component issues.
Key Responsibilities:
- Design and maintain automated component deployment
- Write robust, reusable integration code
- Manage dependency versions, upgrades, and compatibility
- Maintain validation workflows with QA and CI/CD teams
- Troubleshoot issues across components and projects
Requirements:
- Computer Science degree or equivalent experience
- Eight or more years developing software on Linux
- Experience with Kubernetes and container technologies
- Proficiency developing clean, productive Python code
- Experience with Git, CI/CD, Linux networking, and security
Apply senior Linux, Kubernetes, Python, and integration expertise to advance NVIDIA’s AI computing software stack.