Senior Software Engineer, NVIDIA Kubernetes

What you'll do

• Develop cluster lifecycle, node management, and fleet health capabilities; implement Kubernetes controllers, operators, and CRDs.
• Automate provisioning and own testing and build, test, and release pipelines; diagnose production reliability, performance, and security issues.
• Set technical direction, lead cross-team development, mentor engineers, and maintain build documentation and runbooks.

What they ask for

• BS/MS in Computer Science or a related field, or equivalent experience.
• 8+ years of relevant software engineering experience, including building and operating production distributed systems.
• Proficiency in a systems language (Go, C++, Rust, or Java); strong understanding of Kubernetes, distributed systems, and Linux.
• Experience with automation tools such as Ansible and Terraform, and establishing and managing CI/CD systems.

Nice to have

• Broad Go experience, including concurrency and testing, and client-go / controller-runtime; production Kubernetes operations at scale.
• Experience with Cluster API or infrastructure providers, CI/CD platforms, Linux kernel internals, GPU/DPU infrastructure, or open-source cloud-native projects.

Pay

184,000 USD – 287,500 USD base salary for Level 4; 224,000 USD – 356,500 USD base salary for Level 5

Tools

Kubernetes, Go, C++, Rust, Java, Ansible, Terraform, GitLab

AI focus

The role builds and operates Kubernetes infrastructure supporting AI workloads. NVIDIA also states it uses AI tools in recruiting.