Technical Staff Network Architect

Dell Technologies

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Round Rock, TXSanta Clara, CA
Salary
$263,925–$341,550 / yr
Posted
3 days ago
Freshness
Confirmed live yesterday
Closes
Nov 30, 2026

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $169k
This role $303k
$100k $367k
below market most similar roles pay here above market

This role pays more than 99% of similar roles. Most pay $130,875–$208,000 — the blue band above. At the midpoint, this role pays about $303k versus about $169k 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 113 open roles on FindRole.

Listed pay typically runs $176,000–$238,895 across 92 roles with salary data.

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At a glance

TL;DR · Technical Staff Network Architect

The Technical Staff, Network Architect joins the Engineering Technologist team to shape next-generation large-scale AI infrastructure. This role involves driving network and fabric designs based on customer requirements, specifically addressing InfiniBand, Ethernet, and Accelerated Fabric Link topologies. You will lead the development of end-to-end AI network architecture, including GPU-to-GPU, server-storage, in-rack cabling, and optical design at the datacenter level. Key responsibilities include optimizing network configurations for training and inferencing, developing networking software to integrate with AI frameworks, and leading technology investigations to influence product architecture. Required expertise includes switches, network-interface cards, Data Processing Units, and AI Fabrics. You must also possess experience with TensorFlow, PyTorch, and Kubernetes for ML workloads while managing customer and partner project leadership to deliver high-performance AI cluster solutions.

What you'll do

  • Drive network and fabric design based on customer requirements and infrastructure needs.
  • Define network topologies optimized specifically for 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 configuration to maximize the performance of AI clusters.
  • Develop networking software and architecture to integrate with AI frameworks and applications.
  • Collaborate with external partners to create differentiated networking solutions.
  • Assess customer requirements to develop technical solutions tailored to specific geographical areas.

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 such as 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, develop solutions, and prioritize deliverables.
  • Ability to travel 20%-30% for work.
  • 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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