Principal Network Engineer (Hybrid) || Santa Clara, CA

DMS Vision • Frisco, AL

21h • Hybrid

About The Position

NVIDIA is seeking a highly skilled Principal Network Engineer to build next-generation IT AI clusters and help lead a technology transformation toward running AI on-premises. The role involves integrating enterprise-ready platforms and building an automated infrastructure foundation. It is a hands-on network engineering position focused on the architecture, design, development, and deployment of ultra-high-speed, resilient, and scalable data center AI clusters and interconnects for GPU-accelerated data centers and compute clusters. Success requires strong problem-solving skills and a comprehensive understanding of network security protocols and standards, routing, switching, automation, and fundamental network theory.

Requirements

• Master’s or Ph.D. in Electrical Engineering, Computer Science, Computer Engineering, Artificial Intelligence, Data Science, Mathematics, Statistics, or equivalent experience.
• 12+ years of experience building, managing, and supporting large-scale hybrid networks.
• Experience developing automation pipelines with Python, Ruby, Go, or other languages used in infrastructure automation.
• Expertise in InfiniBand, Ultra Ethernet, RoCEv2, DCQCN, TCP/UDP, IPv4/IPv6, BGP/MP-BGP, VPN, Layer 2 switching, EVPN, VXLAN, Segment Routing, and MPLS.
• Experience automating network infrastructure.
• Experience using automated configuration management systems such as Python, Terraform, Chef, Puppet, Ansible, or Salt.

Responsibilities

• Lead the architecture, design, and deployment of global-scale data center interconnects and fabrics for HPC, AI, and GPU computing clusters.
• Develop high-performance data center fabrics using InfiniBand, Ultra Ethernet, and related technologies.
• Optimize carrier interconnects, intra- and inter-data-center routing, and dark fiber deployments for 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, troubleshooting, and continuous performance-improvement processes.
• Drive technology selection, vendor engagement, and lifecycle management for data center hardware and software.
• Collaborate with internal product managers to develop NVIDIA-on-NVIDIA solutions.

What This Job Offers

• Career Level: Principal