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Principal Network Architect

US, CA, Santa Clara
Full Time On-site

Summary

Job Description

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 fabric for HPC, AI, and GPU computing clusters.

  • Develop high-performance data center fabric using Infiniband, high-throughput Ethernet, and related technologies.

  • Optimize carrier interconnects, backbone routing, and dark fiber deployments to ensure low latency and high reliability.

  • Partner with system, OS, GPU, and HPC teams to deliver scalable, highly available networks for extreme-performance workloads.

  • Implement network monitoring, telemetry, solving, and continuous performance improvement processes.

  • Drive technology selection, vendor engagement, and lifecycle management for backbone networking hardware and software.

  • Ensure security, compliance, and reliability across all backbone components to support sensitive compute loads and business requirements.

  • Collaborate with internal product managers develop NVIDIA on NVIDIA solutions

What we need to see:

  • MS or PhD in Electrical Engineering, Computer Science, Computer Engineering, Artificial Intelligence, Data Science, Mathematics, Statistics, or equivalent experience.

  • 12+ years of experience in building, managing and supporting large scale hybrid networks, developing automation pipelines with Python, Ruby, Go or other languages used in infrastructure automation.

  • Expert in networking technologies: TCP/UDP, IPv4/IPv6, BGP/MP-BGP, VPN, L2 switching, EVPN, VxLAN, Segment Routing, MPLS, IS-IS, DWDM.

  • Experience automating SDN/NFV/NFVI Infrastructure

  • Experience using an automated configuration management system (Terraform, Chef, Puppet, Ansible, Salt, etc.)

NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables outstanding creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. NVIDIA is looking for exceptional people like you to help us accelerate the next wave of artificial intelligence.

#LI-Hybrid

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 248,000 USD - 391,000 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until September 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.

About Nvidia

Nvidia

NVIDIA is one of the most influential technology companies in the world, powering the modern era of artificial intelligence, high-performance computing, graphics, and autonomous systems. Originally known for its leadership in gaming GPUs, NVIDIA has evolved into the backbone of AI infrastructure, designing the chips, software, and systems that train and deploy large-scale AI models used across industries from healthcare and robotics to autonomous vehicles and scientific computing.

For job seekers, NVIDIA offers opportunities at the forefront of deep tech, spanning software engineering, AI research, systems engineering, hardware design, networking, robotics, and developer tools. A major focus of its work is the CUDA software platform and AI ecosystem, which enables developers to program GPUs at massive scale and has become foundational to modern machine learning and data center computing. This makes NVIDIA especially attractive to engineers, researchers, and technologists who want to work directly on the infrastructure powering today’s AI revolution.

Unlike traditional hardware companies, NVIDIA operates as a full-stack computing platform company, integrating silicon, systems, and software into a unified ecosystem. Employees may work on everything from GPU architecture and data center systems to AI frameworks, simulation platforms like Omniverse, and autonomous vehicle technology through the DRIVE platform. This breadth allows teams to operate at the intersection of research and production-scale deployment, with direct impact on global computing infrastructure.

As demand for AI, accelerated computing, and autonomous systems continues to grow rapidly, NVIDIA remains one of the most important employers in technology and advanced engineering. For professionals seeking a high-impact career at the center of AI development—where breakthroughs quickly translate into real-world systems at global scale—NVIDIA stands out as one of the most dynamic and sought-after destinations in the industry.

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