Technical Staff-Storage Architect

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, TexasWhat 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 filesysrough 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 chal