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From applied research to advanced engineering, the ISG CTO 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.
Job Responsibility:
Serve as the technical leader interfacing with enterprise customers to define architectures, understand workload requirements, and translate them into comprehensive solution designs
Lead investigations new fabric technologies, and storage platforms to support large‑scale AI deployments
Develop and propose solution configurations, BOMs, and SKUs based on customer needs in collaboration with Engineering
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)
Engage with strategic technology partners to co-innovate and build differentiated solutions and influence multi-year technology and product roadmaps with inputs from engineering, manufacturing, procurement, customers, and the broader industry
Serve as a technical escalation point for complex development challenges and represent Dell in internal and external architecture forums and generate intellectual property, including invention disclosures and technology strategy insights
Requirements:
10+ years of experience in storage architecture, data platforms, or large-scale distributed systems including 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, and enterprise cluster deployments along with proven 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%
Nice to have:
Masters, PhD or 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
What we offer:
Comprehensive Healthcare Programs
Award Winning Financial Wellness Tools and Resources
Generous Leave of Absence for New Parents and Caregivers