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NVIDIA

Senior System Software Engineer - Cloud Networking

Reposted 23 Days Ago
In-Office or Remote
2 Locations
184K-357K
Senior level
In-Office or Remote
2 Locations
184K-357K
Senior level
Design, prototype, implement, and operate SDN solutions for NVIDIA AI Clouds. Collaborate with teams and maintain automated tests.
The summary above was generated by AI

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 OVS-OVN based Software-Defined Networking solutions for NVIDIA AI Clouds. 

  • Write and maintain automated tests (unit, system)

  • 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

  • At least 8 years of experience in designing and supporting SDN solutions

  • Expert level knowledge of OVN, OVS, OpenFlow

  • 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.

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 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.

Top Skills

Ansible
Argocd
AWS
Azure
Bash
C
Flux
GCP
Go
Kubernetes
Linux
Make
Openflow
Ovn
Ovs
Python
Terraform

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