Technical Staff Platform Architect

Dell Technologies

Confirmed live today High trust
Closes tomorrow

Quick summary

Work type
On-site
Location
Santa Clara, CA
Salary
$263,925–$341,550 / yr
Posted
5 days ago
Freshness
Confirmed live today
Closes
Oct 6, 2026 (soon)

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $187k
This role $303k
$105k most similar roles pay here $367k

This role pays more than 99% of similar roles. Most pay $151,000–$223,125 — the shaded band above. At the midpoint, this role pays about $303k versus about $187k 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 76 open roles on FindRole.

Listed pay typically runs $174,000–$235,000 across 73 roles with salary data.

Most-posted roles

View all roles at Dell Technologies

At a glance

TL;DR · Technical Staff Platform Architect

As a Technical Staff, Platform Architect on the Engineering Technologist team, you will shape groundbreaking products by leading technology investigations, developing product strategies, and generating intellectual property. You will be responsible for designing next-generation large-scale AI infrastructure, including accelerated compute, AI Fabric, and optimized storage. Your daily work involves optimizing software and hardware configurations to maximize datacenter performance, collaborating with external partners to create differentiated solutions, and managing multi-year roadmaps. The role requires deep knowledge of computer architecture—including CPUs, accelerators, networking, and storage—alongside expertise in open-source and commercial AI workflow applications for training and inferencing. You will solve complex systems challenges by addressing business outcome requirements through architectural trade-offs, while driving innovation in liquid cooling technologies and power density to ensure products lead the market in high-performance computing environments.

What you'll do

  • Design AI software and hardware architectures based on specific customer requirements and infrastructure needs.
  • Optimize software and hardware configurations to maximize performance and efficiency of datacenter components.
  • Develop differentiated solution architectures that integrate within enterprise datacenter frameworks and applications.
  • Engage with high-profile customers to provide expertise on AI technologies and shape future product roadmaps.
  • Lead technology investigations and identify differentiation opportunities for marketing, procurement, and executive leadership.
  • Generate intellectual property through invention disclosures and participate in strategic industry forums.
  • Maintain multi-year technical roadmaps that align feature trade-offs with business objectives.
  • Create comprehensive plans and documentation for implementing AI solutions to meet stated business needs.

What we're looking for

  • Ability to drive model selection and advise on architectural trade-offs for customer outcomes.
  • Deep knowledge of open-source and commercial AI workflow applications across compute, network, and storage.
  • Experience with Enterprise cluster deployments and AI workflows for training and inferencing use cases.
  • Solid understanding of computer architecture including CPUs, accelerators, networking, storage, and benchmarking methodologies.
  • Ability to develop comprehensive plans and documentation for implementing AI solutions based on business needs.
  • Experience identifying and communicating differentiation opportunities to marketing, procurement, engineering, and executives.
  • Willingness to travel 20%-30% to assess customer requirements and develop blueprints.
  • Bachelor's, Master's, or PhD degree in Computer Science, Data Science, or equivalent experience (preferred).

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