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 Hiring @ 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 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 and "Infrastructure as 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 and practical experience with deploying and supporting CNIs.

Preferred / Ways to stand out

  • 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);
  • Strong communication and collaboration skills.

Compensation and benefits

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

  • Base salary range is 184,000 USD - 287,500 USD for Level 4.
  • Base salary range is 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits (link to NVIDIA benefits page provided in original posting).

Additional information

  • 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. The company does not discriminate on the basis of protected characteristics in hiring and promotion practices.