Principal Network Engineer — DC and AI Clusters

Posted 14 Days Ago
Be an Early Applicant
Santa Clara, CA
In-Office
248K-391K
Expert/Leader
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Lead the architecture, design, and deployment of scalable DC AI clusters. Collaborate with teams for performance improvement and technology selection.
Summary Generated by Built In

We are seeking a highly skilled Principal Network Engineer to join our dynamic team to build the next generation of IT AI Clusters and help lead the team through a major technology transformation into running AI on-prem and build infrastructure by integrating Enterprise ready platforms while building a solid foundation with automation. We are looking for a passionate engineer who will solve networking problems for scalable AI clusters.

This is a hands-on network engineering position focused on the architecture, design, development and deployment of ultra-high-speed, resilient, and scalable DC AI Clusters and 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 DCs inter-connects and fabric for HPC, AI, and GPU computing clusters.

  • Develop high-performance data center fabric using InfiniBand, Ultra Ethernet and related technologies.

  • Optimize carrier interconnects, intra and inter DC 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 Data Center hardware and software.

  • 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: InfiniBand, Ultra Ethernet, ROCEv2, DCQCN, TCP/UDP, IPv4/IPv6, BGP/MP-BGP, VPN, L2 switching, EVPN, VxLAN, Segment Routing, MPLS.

  • Experience automating network infrastructure

  • Experience using an automated configuration management system (Python,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 October 5, 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
Bgp/Mp-Bgp
Chef
Dcqcn
Evpn
Go
Infiniband
Ipv4/Ipv6
L2 Switching
Mpls
Puppet
Python
Rocev2
Ruby
Salt
Segment Routing
Tcp/Udp
Terraform
Ultra Ethernet
Vpn
Vxlan
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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

What We Do

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. 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, NVIDIA is increasingly known as “the AI computing company.”

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