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 solutionsWhat 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 infrastructureExperience 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-HybridYour 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.