Senior System Software Engineer, Kubernetes and KubeVirt

Nvidia · Santa Clara, CA

senior operations Systems Engineer ic 6+ yrs Bachelor's · Posted Apr 20, 2026

About this role

Nvidia is hiring a senior-level Systems Engineer in the operations function based in Santa Clara, CA. The posting calls out experience with Networking, Distributed Systems, Go, gRPC and roughly 6+ years of relevant work. Listed education preference: a bachelor's degree or equivalent.

Role
Systems Engineer
Function
operations
Level
senior
Track
Individual contributor
Employment
Full-time
Location
Santa Clara, CA
Experience
6+ years
Education
Bachelor's degree
Posted
Apr 20, 2026
AI Summary
Design and operate GPU-accelerated cloud infrastructure on Kubernetes/KubeVirt for services like GeForce NOW. Lead distributed systems architecture, develop Go-based cloud platform components, and contribute to upstream Kubernetes communities. Requires 6+ years building scalable cloud services with deep container orchestration and virtualization expertise.
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Job description

from Nvidia careers

We are looking for a Senior Software Engineer who sees the big picture of cloud computing and loves building cloud infrastructure. You will design and operate highly scalable cloud platform that power some of the most demanding GPU‑powered services in the world, including GeForce NOW and NVIDIA’s GPU cloud offerings.

Your work will directly shape how AI, deep learning, and high‑end gaming are delivered from the cloud, and will power NVIDIA’s GPU‑accelerated data centers worldwide. You will play a key role in upstream communities such as Kubernetes (k8s) and KubeVirt, adding features and integrations needed to support GeForce NOW and next‑generation NVIDIA platforms. You will have opportunity to upstream features, engage with CNCF/open source communities, and influence roadmap for GPU support in Kubernetes/Kubevirt.

What you’ll be doing:

  • Design, implement, and operate cloud platform services that provide GPU‑accelerated IaaS on top of Kubernetes and KubeVirt.

  • Develop and extend Kubernetes and KubeVirt components (e.g., operators/controllers, CRDs, device plugins) to support GeForce NOW and new NVIDIA hardware platforms.

  • Drive the underlying technology stack: influence architecture, coding standards, observability, and deployment methodology for high‑scale, high‑availability services.

  • Collaborate closely with product, hardware, and other engineering teams to deliver new capabilities end‑to‑end, including leading design discussions and aligning engineering leads on architecture and technology choices.

    This is an excerpt. Read the full job description on Nvidia careers →
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