Senior Infrastructure Engineer - Connectivity

NVIDIA•Us, CA

About The Position

The Contract Manufacturing infrastructure team is seeking experienced candidates in the extensive domain of network architecture & connectivity engineering to redesign the NVIDIA manufacturing sites connectivity strategy. This is a hands-on architecture position focused on the development and deployment of the IT room which is similar in design to a mini datacenter and office designs at these manufacturing sites. 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. Knowledge of Manufacturing and OT networks and infrastructure is an advantage.

Requirements

MS or in Electrical Engineering, Mechanical 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 with Mellanox networking gear

Nice To Haves

Knowledge of Manufacturing and OT networks and infrastructure is an advantage.

Responsibilities

Troubleshoot, network issues at the factory including DNS and DHCP
Lead the architecture, design, and deployment of global‑scale factories and how they connect back to the cloud and the factory IT rooms. (Skills with RoCE and traditional IP) to support both general compute workloads and large language models.
Partner with systems, Operations teams, supply chain partners, OS, GPU, storage, and HPC product teams to deliver scalable, highly available network architectures and connectivity solutions that can evolve with rapid growth in both compute and GPU capacity.
Design clear demarcations between the IT room, Production floor and the NPI areas in the factory and how they talk to each other and back to NVIDIA DCs and clouds.
Manage life cycle management, come up with design topologies for faster networks in revenue generating manufacturing sites.
Define and enforce security, compliance, and reliability standards for all backbone and fabric components supporting sensitive enterprise and R&D workloads.
Collaborate with internal product and engineering teams to develop “NVIDIA on NVIDIA” reference architectures and best‑practice solutions for large‑scale compute and AI data designs, using NVIDIA products like Mellanox and GPUs.
Be able to troubleshoot quickly DNS, DHCP, and other full connectivity stack infrastructures.
Experience with Test Engineering topologies