Storage Engineer Jobs in Santa Clara, CA

Technical Staff-Storage Architect
From applied research to advanced engineering, the Engineering Technologist team has the expertise to
shape ground-breaking products, material and processes. It’s a fascinating field of work. We’re involved in
assessing the competition, developing technology and product strategies and generating intellectual
property. We lead technology investigations, analyze industry capabilities and recommend potential
acquisitions or vendor partner opportunities. Our insights influence product architecture and definitions.
And we work with colleagues across the business to ensure our products always lead the way.

Join us to do the best work of your career and make a profound social impact as a Technical Staff-
Storage Architect on our Engineering Technologist Team in Round Rock, Texas

What you’ll achieve
Participate in the development of next-generation large-scale AI Infrastructure to include 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 datacenter level
with liquid cooling technologies and power density.

You will:

• 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.‑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 (L10–L12).‑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.

Take the first step towards your dream career
Every Dell Technologies team member brings something unique to the table. Here’s what we are looking
for with this role:

Essential 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 and 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.‑grade performance and SLA requirements.
• Excellent communication skills with experience presenting to cross functional teams and senior leaders.‑functional teams and senior leaders.
• Demonstrated experience working with industry vendors to influence next generation technology design.‑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.