Senior Software Engineer, NVIDIA Kubernetes

NVIDIA is recognized as one of the technology world's most desirable employers, driving groundbreaking developments in Artificial Intelligence, High-Performance Computing, and Visualization. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As a Senior Software Engineer on the Management Plane area, you will own building and delivering software that creates, upgrades, scales, and operates Kubernetes clusters on customer-managed infrastructure. This infrastructure supports demanding AI and high-performance computing workloads. You will set technical direction, lead cross-team development, and mentor other engineers while shipping high-quality, production-ready software. What You’ll Be Doing: • Develop and build management plane capabilities such as cluster lifecycle operations (compose, upgrade, scale, repair, delete), node management, and fleet-wide health and status reporting, from development through production. • Architect and implement Kubernetes controllers, operators, and custom resource definitions (CRDs) in Go, with reliable, idempotent reconciliation. • Drive automated cluster provisioning across bare metal, virtualized, and cloud environments, using Cluster API-style concepts and infrastructure providers. • Lead technical build: write build docs, run build reviews, and align partner teams across the software and hardware stack. • Diagnose and improve the performance, reliability, and security of complex, asynchronous distributed systems, including debugging issues in production. • Own test strategy (unit, integration, end-to-end) and automate build, test, and release pipelines. • Mentor engineers, improve code reviews, and keep documentation and runbooks clear and current. • Prioritize various tasks while maintaining high code quality. What We Want To See: • 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. • Strong proficiency in a systems language (Go, C++, Rust, or Java), with solid data structures and algorithms fundamentals and the ability to become productive in Go quickly. • Strong understanding of Kubernetes and container orchestration, including the API server, controllers, and reconciliation loops. • Background in distributed system build and development, including consistency, availability, and failure handling at scale. • Experience in automation using tools like Ansible and Terraform, along with experience establishing and managing CI/CD systems. • Solid Linux fundamentals and an understanding of performance, security, and reliability in distributed environments. • Track record of leading technical builds and mentoring other engineers. Ways to Stand Out from the crowd: • Broad experience with Go, especially concurrency and testing, and with client-go / controller-runtime. • Significant hands-on production experience operating Kubernetes at scale, including control plane or etcd scalability and availability. • Experience with Cluster API or infrastructure providers on bare metal, vSphere, OpenStack, or AWS, along with solid experience using GitLab, Jenkins, or other CI/CD platforms. • Expert knowledge of Linux kernel and system internals, or experience with GPU/DPU-accelerated infrastructure. • Open-source contributions to Kubernetes or related cloud-native projects. Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/ Your base salary will be determined based on your location, experience, and the pay of