Senior System Software Engineer - Cloud Networking

at Nvidia
📍 Santa Clara, United States
USD 184,000-356,500 per year
SENIOR
✅ On-site

SCRAPED

Used Tools & Technologies

Not specified

Required Skills & Competences ?

Ansible @ 7 Go @ 4 Kubernetes @ 4 Linux @ 4 DevOps @ 4 Terraform @ 7 Python @ 7 GCP @ 4 CI/CD @ 4 ArgoCD @ 7 AWS @ 4 Azure @ 4 Bash @ 7 Communication @ 7 Networking @ 4 SRE @ 4 Rust @ 4 GPU @ 4

Details

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!

Responsibilities

  • Develop and operate Software Defined Networking (SDN) solutions for NVIDIA AI Clouds.
  • Develop and maintain CI/CD environments for Cloud SDN projects, including designing new, enhancing and supporting existing GitLab CI/CD 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).

Requirements

  • BA/BS degree in Computer Science or a related technical field, or equivalent experience.
  • Strong knowledge of networking protocols and practical experience with datacenter routing and switching, Linux host and VM networking.
  • Experience with OVN-K8s, OVN, OVS and OpenFlow.
  • At least 8 years of experience designing and supporting complex, multi-stage CI/CD pipelines across multiple codebases.
  • Advanced scripting and infrastructure-as-code tooling experience (Bash, Python, Make, Ansible, Terraform, ArgoCD, Flux).
  • Good command of programming languages (C and Go) to support test coverage for OVS, OVN and OVN-Kubernetes CNI codebases.
  • Deep knowledge of Kubernetes environments and practical experience deploying and supporting CNIs.

Ways to stand out

  • MS or PhD in Computer Science or equivalent technical field.
  • Experience with Rust, Nix, Z, Basel.
  • Practical experience with major cloud providers (AWS, Azure, GCP) and hybrid/multi-cloud deployments.
  • Contributions to open-source projects and experience supporting large-scale AI/HPC compute with hardware acceleration (GPU, DPU).
  • Strong communication and collaboration skills.

Benefits & Additional info

  • 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.
  • You will also be eligible for equity and benefits.
  • Applications for this job will be accepted at least until July 29, 2025.
  • NVIDIA is committed to fostering a diverse work environment and is an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other protected characteristic.