Technical Staff, Storage Architect

About the role

The Engineering Technologist team is dedicated to shaping groundbreaking products and processes, from applied research to advanced engineering. We assess competitors, develop technology and product strategies, and generate intellectual property. We also lead technology investigations, analyze industry capabilities, and recommend potential acquisitions or vendor partner opportunities. Our insights guide product architecture and definitions, and we collaborate with colleagues across the business to ensure our products stay ahead.

Responsibilities

• Participate in the development of next-generation large-scale AI Infrastructure, including accelerated compute, AI Fabric, and AI-optimized storage.
• Engage with high-profile AI customers to optimize solutions for their applications and tune systems for maximum performance.
• Drive innovation at the datacenter level with liquid cooling technologies and power density.
• 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 optimized, scale-out file, object, and parallel filesystem SDS technologies.
• Influence end-to-end AI infrastructure stacks—from software frameworks through compute, storage, networking, data security, and datacenter deployment (L10–L12).
• Develop and propose solution configurations, BOMs, and SKUs based on customer needs in collaboration with Engineering and engage with strategic technology partners to co-innovate and build differentiated solutions.
• Lead investigations 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 technology strategy insights, and influence multi-year technology and product roadmaps with inputs from engineering, manufacturing, procurement, customers, and the broader industry.

Requirements

• 10+ years of experience in storage architecture, data platforms, or large-scale distributed systems.
• Expertise in scale-out file/object storage, parallel filesystems, and key storage concepts (NFS/S3, erasure coding, deduplication, encryption, tiering, backup, versioning).
• Deep understanding of AI/ML workflows, data pipelines, training/inference patterns, Vector DB, KV Cache, and enterprise cluster deployments, with the ability to collaborate with ISVs on data management and AI workflow integration.
• Strong ability to define storage configurations to meet production-grade performance and SLA requirements.
• Excellent communication skills with 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%.

Desirable Requirements

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