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 deploymentWrite robust, reusable integration codeManage dependency versions, upgrades, and compatibilityMaintain validation workflows with QA and CI/CD teamsTroubleshoot issues across components and projectsRequirements:
Computer Science degree or equivalent experienceEight or more years developing software on LinuxExperience with Kubernetes and container technologiesProficiency developing clean, productive Python codeExperience with Git, CI/CD, Linux networking, and securityApply senior Linux, Kubernetes, Python, and integration expertise to advance NVIDIA’s AI computing software stack.