Technical Staff Network Architect

Dell Technologies

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: Round Rock, TXSanta Clara, CA
Salary: $229,500–$297,000 / yr
Posted: 4 days ago
Freshness: Confirmed live yesterday
Closes: Nov 30, 2026
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $173k

This role $263k

$108k $317k

below market most similar roles pay here above market

This role pays more than 92% of similar roles. Most pay $135,375–$210,018 — the blue band above. At the midpoint, this role pays about $263k versus about $173k for comparable roles.

Based on 240 similar postings.

Employer

About Dell Technologies

Dell Technologies is a US-based technology company that designs and sells PCs, servers, storage and networking hardware, along with related software and IT services. Its product lines include the XPS, Latitude and Alienware PCs and the PowerEdge server and PowerStore storage families.

Dell Technologies currently has 102 open roles on FindRole.

Listed pay typically runs $174,000–$236,250 across 88 roles with salary data.

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View all roles at Dell Technologies

At a glance

TL;DR · Technical Staff Network Architect

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The Technical Staff, Network Architect joins the Engineering Technologist team to develop next-generation large-scale AI infrastructure, including accelerated compute, AI Fabric, and AI optimized storage. You will drive network and fabric designs based on customer requirements, specifically addressing InfiniBand, Ethernet, and Accelerated Fabric Link topologies. Your daily responsibilities include leading end-to-end AI network architecture for GPU-GPU and server-storage connections, optimizing configurations for AI clusters, and developing networking software to integrate with AI frameworks. You must possess expert knowledge of switches, network-interface cards, Data Processing Units, and AI Fabrics. Required skills include experience with TensorFlow, PyTorch, and Kubernetes for ML workloads, alongside data center network design and optical distribution. You will solve complex systems challenges by aligning technical solutions with specific geographical and performance needs.

Skills

Network Architecture InfiniBand Ethernet AI Fabric GPU TensorFlow PyTorch Kubernetes Optical Design NIC DPU Liquid Cooling Fabric Topologies AI Infrastructure

What you'll do

Drive network and fabric design based on specific customer requirements and infrastructure needs.
Define network topologies optimized for large-scale AI training and inferencing workloads.
Lead end-to-end AI network architecture including GPU-to-GPU, server-storage, and optical designs.
Optimize network topology and configurations to maximize the performance of AI clusters.
Develop networking software and architectures that integrate with AI frameworks and applications.
Collaborate with external partners to create differentiated networking solutions.
Lead technology investigations to analyze industry capabilities and recommend potential acquisitions or partners.
Influence product architecture and definitions through technical research and intellectual property generation.

What we're looking for

Expert understanding of switches, network-interface cards (NIC), Data Processing Units (DPU), and AI Fabrics.
Experience in AI framework integration including TensorFlow, PyTorch, and Kubernetes for ML workloads.
Experience with data center network design and optical distribution.
Knowledge of networking protocol industry standards.
Customer and partner project leadership experience to assess requirements and develop technical solutions.
Ability to travel 20%-30% for the role.
15+ years of industry experience (preferred).
Bachelor’s degree or equivalent skill (preferred).
Possess relationships with key suppliers of networking products (preferred).

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