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 @ 4 Go @ 4 Kubernetes @ 4 Linux @ 7 DevOps @ 4 Terraform @ 4 Python @ 4 GCP @ 4 ArgoCD @ 4 AWS @ 4 Azure @ 4 Bash @ 4 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 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).

Requirements

  • BA/BS degree in Computer Science or 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 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 and experience supporting large scale AI/HPC compute with hardware acceleration (GPU, DPU).
  • Strong communication and collaboration skills.

Benefits

  • Eligible for equity and benefits.
  • NVIDIA is committed to fostering a diverse work environment and is an equal opportunity employer.