Technical Staff, Storage Architect

Dell Technologies•Santa Clara, CA
•Onsite

About The Position

Join Dell Technologies’ Engineering Technologist Team in Santa Clara, California, as a Technical Staff-Storage Architect. The role focuses on shaping next-generation, large-scale AI infrastructure, including accelerated compute, AI fabrics, and AI-optimized storage. It involves working with high-profile AI customers to optimize solutions for their applications, tune systems for maximum performance, and advance datacenter-level innovation in liquid cooling and power density. The position provides technical leadership in customer-facing architecture and solution design, with influence across AI infrastructure from software frameworks through compute, storage, networking, data security, and datacenter deployment. The architect works with engineering and strategic technology partners to develop differentiated solutions, investigates new fabric technologies and storage platforms, handles complex technical escalations, represents Dell in architecture forums, and contributes intellectual property and multi-year technology and product roadmaps.

Requirements

  • 10+ years of experience in storage architecture, data platforms, or large-scale distributed systems.
  • Expertise in scale-out file and object storage, parallel filesystems, and storage concepts including NFS/S3, erasure coding, deduplication, encryption, tiering, backup, and versioning.
  • Deep understanding of AI/ML workflows, data pipelines, training and inference patterns, data analytics, Vector DB, KV Cache, and enterprise cluster deployments.
  • Ability to collaborate with ISVs on data management and AI workflow integration.
  • Strong ability to define storage configurations that meet production-grade performance and SLA requirements.
  • Excellent communication skills and experience presenting to cross-functional teams and senior leaders.
  • Demonstrated experience working with industry vendors to influence next-generation technology design.
  • Ability to translate business outcomes into practical, scalable technical architectures.
  • Willingness to travel 20–30%.

Nice To Haves

  • Bachelor’s degree or equivalent experience.
  • Knowledge of AI/ML or HPC performance engineering, including benchmarking and scripting (e.g., Python, Bash) on Linux.
  • Hands-on experience with datacenter technologies, including fabrics, cooling, telemetry, or cluster orchestration.

Responsibilities

  • Serve as the technical leader interfacing with enterprise customers to define architectures, understand workload requirements, and translate them into comprehensive solution designs.
  • Architect AI-optimized storage and data management solutions integrating scale-out file, object, and parallel filesystem technologies.
  • Influence end-to-end AI infrastructure stacks, from software frameworks through compute, storage, networking, data security, and datacenter deployment.
  • Develop and propose solution configurations, bills of materials (BOMs), and SKUs based on customer needs, in collaboration with Engineering.
  • Engage with strategic technology partners to co-innovate and build differentiated solutions.
  • Lead investigations of new fabric technologies and storage platforms to support large-scale AI deployments.
  • Serve as a technical escalation point for complex development challenges and represent Dell in internal and external architecture forums.
  • Generate intellectual property, including invention disclosures, and provide technology strategy insights.
  • Influence multi-year technology and product roadmaps using input from engineering, manufacturing, procurement, customers, and the broader industry.
  • Participate in developing next-generation large-scale AI infrastructure, including accelerated compute, AI fabric, and AI-optimized storage.
  • Work with high-profile AI customers to optimize solutions for their applications and tune systems for maximum performance.
  • Drive datacenter-level innovation involving liquid cooling technologies and power density.
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