Senior System Software Engineer - Cloud Networking

We are looking for a Senior System Software Engineer, Cloud Networking to design, prototype, implement and operate programmable software-defined networking solutions for NVIDIA Virtualized Clouds hosting GPU-accelerated applications. NVIDIA's invention of the GPU redefined modern computer graphics, revolutionized parallel computing and sparked the growth of the PC gaming market. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world.

Today, we are increasingly known as “the AI Computing Company” and one of the best companies to work for. We are looking to grow our Company and grow with the most thoughtful people in the world. We are looking for you!

What you’ll be doing:

• Develop and operate Software Defined Networking Solutions for NVIDIA AI Clouds.

• Develop and maintain CICD environments for Cloud Software Defined Network (SDN) projects, including: Design new, enhance and support existing GitLab CICD pipelines across the entire stack - Linux host networking, OVS, OVN and Kubernetes CNIs 

• Write and maintain automated tests (unit, integration, system)

• Implement GitOps practices within the team

• Collaborate with multiple teams (SRE, DevOPs, network engineering)

What we need to see:

• BA/BS degree in Computer Science, or in related technical field or equivalent experience

• Good knowledge of Networking Protocols, OVN-K8s, OVN, OVS, OpenFlow

• At least 8 years of experience in designing and supporting complex, multi-stage CICD pipelines across multiple codebases

• Strong knowledge of networking (datacenter routing and switching, Linux host and VM)

• Advanced scripting, "Infrastructure as a Code" build and deployment tools (Bash, Python, Make, Ansible, Terraform, ArgoCD, Flux)

• Good command in programming languages (C and Go) to support test coverage for OVS, OVN and OVN-Kubernetes CNI code bases 

• Deep knowledge of Kubernetes environment, practical experience with deploying and supporting CNIs

Ways to stand out from the crowd:

• MS or PhD in Computer Science or an equivalent technical field

• Experience with Rust programming language, Nix, Z, Basel

• Practical experience with major cloud providers (AWS, Azure, GCP) and hybrid/multi-cloud deployments

• Contributions to open-source projects as well as experience supporting large scale AI/HPC compute with hardware acceleration (GPU, DPU) and strong communication and collaboration skills

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people on the planet working for us. If you're creative and autonomous, 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 for Level 4, and 224,000 USD - 356,500 USD for Level 5.Applications for this job will be accepted at least until July 29, 2025.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.