Senior Network Architect

at Nvidia

USD 208,000-396,800 per year

SENIOR

✅ Hybrid

Tech Stack
Tag name is followed by "@" symbol and proficiency level value. About proficiency levels:

1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

AI BGP @ 4 Compliance Data Science @ 4 GPU Go @ 4 HPC InfiniBand Machine Learning Mathematics @ 4 Python @ 4 Ruby @ 4 Security @ 7 Statistics @ 4

Details

NVIDIA is seeking an experienced network architecture and engineering professional for its Enterprise Network Architecture team. This hands-on role focuses on developing and deploying ultra-high-speed, resilient, and scalable interconnects for GPU-accelerated data centers and compute clusters. Success requires strong problem-solving abilities and comprehensive knowledge of network security protocols and standards, routing, switching, automation, and fundamental network theory.

Responsibilities

Lead the architecture, design, and deployment of global-scale backbone and data center fabrics supporting large fleets of CPU-based compute, storage, and GPU/HPC clusters.
Design high-performance data center fabrics using InfiniBand and high-throughput Ethernet, including RoCE and traditional IP, for general compute workloads and GPU-dense AI/ML training and inference environments.
Engineer and optimize carrier interconnects, metro and long-haul backbones, and dark-fiber systems to provide low-latency, loss-minimal connectivity between regions, super labs, and data centers.
Partner with systems, operating system, GPU, storage, and HPC platform teams to deliver scalable and highly available network architectures.
Implement and refine network monitoring, rich telemetry, and performance-engineering practices across fabrics and backbones.
Drive technology selection, vendor engagement, and lifecycle strategy for routing, optical, and data center switching platforms.
Define and enforce security, compliance, and reliability standards for 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 centers.

Requirements

MS or PhD in Electrical Engineering, Computer Science, Computer Engineering, Artificial Intelligence, Data Science, Mathematics, Statistics, or equivalent experience.
12 or more years of experience building, managing, and supporting large-scale hybrid networks.
Experience developing automation pipelines with Python, Ruby, Go, or other infrastructure automation languages.
Expert knowledge of TCP/UDP, IPv4/IPv6, BGP/MP-BGP, VPN, Layer 2 switching, EVPN, VxLAN, Segment Routing, MPLS, IS-IS, and DWDM.
Experience automating SDN/NFV/NFVI infrastructure.

Benefits

Equity and benefits are provided.
NVIDIA is committed to fostering a diverse work environment and is an equal opportunity employer.

Applications for this job will be accepted at least until February 21, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes.