Senior Network Architect
Nvidia · Santa Clara, CA
About this role
Nvidia is hiring a senior-level Network Engineer in the operations function based in Santa Clara, CA. The posting calls out experience with Networking, Python, Ruby, Security and roughly 12+ years of relevant work. Listed education preference: a master's degree or equivalent.
- Role
- Network Engineer
- Function
- operations
- Level
- senior
- Track
- Individual contributor
- Employment
- Full-time
- Location
- Santa Clara, CA
- Experience
- 12+ years
- Education
- Master's degree
- Posted
- Apr 20, 2026
More roles at Nvidia
Job description
from Nvidia careersNVIDIA has been redefining computer graphics, PC gaming, and accelerated computing for 30 years. It’s an outstanding legacy of innovation that’s motivated by extraordinary technology—and outstanding people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, encouraging environment where everyone is inspired to do their best work. Come join our team and see how you can make a lasting impact on the world!
The NVIDIA Enterprise Network Architecture team is seeking experienced candidates in the extensive domain of network architecture & engineering. This is a hands-on architecture position focused on the development and deployment of ultra-high-speed, resilient, and scalable interconnects for GPU-accelerated data centers and compute clusters. Outstanding problem-solving abilities and a comprehensive understanding of the network security protocols & standards, routing, switching, automation and deep understanding of fundamental network theory is also critical to your success at NVIDIA.
What you will be doing
Lead the architecture, design, and deployment of global‑scale backbone and data center fabrics that serve large fleets of CPU‑based compute, storage, and GPU/HPC clusters.
This is an excerpt. Read the full job description on Nvidia careers →