Principal Network Engineer - DC and AI Clusters

Nvidia • Santa Clara, CA

84d • $248,000 - $391,000 • Hybrid

About The Position

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.

Requirements

• 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.)

Responsibilities

• 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 to develop NVIDIA on NVIDIA solutions.

Benefits

• Equity and benefits.

What This Job Offers

• Job Type: Full-time
• Career Level: Principal
• Industry: Computer and Electronic Product Manufacturing
• Education Level: Master's degree
• Number of Employees: 5,001-10,000 employees