Senior Network Architect

at Nvidia

📍 Santa Clara, United States

USD 208,000-396,800 per year

SENIOR

✅ Hybrid

Used Tools & Technologies

Machine Learning

Required Skills & Competences
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.

Security @ 4 Go @ 4 Ruby @ 4 Python @ 4 Statistics @ 4 Data Science @ 4 Mathematics @ 4 Networking @ 4 Compliance @ 4 GPU @ 4 AI @ 4 InfiniBand @ 4 HPC @ 4

Details

NVIDIA is seeking an experienced network architect to design and deploy ultra-high-speed, resilient, and scalable interconnects for GPU-accelerated data centers and compute clusters. This is a hands-on architecture and engineering role that partners with systems, OS, GPU, storage, and HPC platform teams to deliver highly available network architectures for large-scale AI, HPC, and enterprise workloads.

Responsibilities

Lead the architecture, design, and deployment of global-scale backbone and data center fabrics serving CPU-based compute, storage, and GPU/HPC clusters.
Design high-performance data center fabrics using InfiniBand and high-throughput Ethernet (RoCE and traditional IP) to support general compute and GPU-dense AI/ML training and inference.
Engineer and optimize carrier interconnects, metro and long-haul backbone, and dark-fiber systems for low-latency, loss-minimal connectivity between regions, super labs, and data centers.
Implement and refine network monitoring, rich telemetry, and performance-engineering practices across fabrics and backbone to detect issues early and improve end-to-end application experience.
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+ years of experience building, managing, and supporting large-scale hybrid networks.
Experience developing automation pipelines using Python, Ruby, Go, or other infrastructure automation languages.
Expert knowledge of 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.
Strong problem-solving skills and a deep understanding of network security protocols & standards, routing, switching, automation, and fundamental network theory.

Compensation & Benefits

Base salary range (by level):
- Level 5: 208,000 USD - 333,500 USD
- Level 6: 248,000 USD - 396,750 USD
Eligible for equity and company benefits (see company benefits page).

Additional Information

#LI-Hybrid
Applications accepted at least until February 21, 2026.
NVIDIA uses AI tools in its recruiting process and is an equal opportunity employer committed to diversity and non-discrimination.