Senior System Software Engineer, Kubernetes and KubeVirt

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.

• Lead performance tuning, scalability improvements, and pervasive automation across the stack (provisioning, testing, deployment, operations).

• Own and document system and software architecture, designs, and implementation details for the services you build.

• Mentor engineers on the team and help foster a culture of engineering excellence, learning, and collaboration.

What we need to see:

• BS or MS in Computer Science or a related field (or equivalent experience)

• 6+ years of hands‑on experience building software and/or scalable cloud services

• Significant experience building distributed systems or cloud‑scale services, including well‑designed APIs (e.g., REST/gRPC).

• Experience with cloud infrastructure: containers, Kubernetes, CI/CD pipelines, and production operations.

• Experience leading design reviews and influencing technical direction across teams, including communicating design documents, defending trade‑offs, and driving decisions with data.

• Proven skills developing in Go (GoLang), including working with Kubernetes/KubeVirt APIs and custom resources.

• Deep understanding in at least some of these areas: virtualization (KVM/QEMU/libvirt, KubeVirt), container orchestration, distributed systems, load balancing, security, or large‑scale multi‑tenant cloud platforms.

Ways to stand out from the crowd:

• Demonstrated upstream contributions to Kubernetes, KubeVirt, or related CNCF/open source projects (PRs, reviews, design proposals, or maintainer roles).

• Experience building Kubernetes device plugins or similar integrations for CPU/GPU/accelerator/network hardware.

• Familiarity with AI‑assisted development tools and a pragmatic approach to using them to improve quality and velocity.

With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology industry's most desirable employers. We have some of the most forward-thinking and versatile people in the world working with us, and our engineering teams are growing fast in some of the most impactful fields of our generation: Cloud and Game Streaming. If you're a creative engineer who enjoys autonomy and shares our passion for technology, we want to hear from you.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD.Applications for this job will be accepted at least until February 9, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.