Spring 2027 Co-Op - AI Systems Strategy

WD is building the infrastructure behind the AI-driven data economy.
As AI scales, so does data. Every interaction, every model, every system generates data that must be stored, managed, and made accessible over time. That’s where we come in.
We combine deep engineering expertise with global-scale manufacturing to deliver the storage systems that make AI possible, powering hyperscale data centers, cloud platforms, and enterprise infrastructure worldwide.
This isn’t theoretical work. It’s real systems, at real scale, people solving some of the hardest challenges in technology today.
We’re looking for people who want to build, solve, and operate at that level.
Join us and let’s shape the future of data.

Responsibilities

This is a high-impact, high-visibility role suited for a graduate student who combines strong technical depth with a passion for systems thinking, data-driven decision making, and emerging technology.; What You'll Do:; System Architecture Support; Assist with evaluating and documenting system architecture trade-off decisions across storage technology domains; Research and model performance, cost, and feasibility dimensions for emerging technology options; Support cross-functional architecture reviews and help synthesize findings into clear technical recommendations Technology Roadmap & Data Management; Help maintain and evolve the team's technology roadmap tools and associated data infrastructure; Develop and improve data pipelines, dashboards, and visualization tools to support roadmap planning and gap analysis; Assist with technology maturation tracking across the component and system lifecycle (TCP0 through TCP2) AI Agent Development; Design and build AI agents to help manage technology projects, automate status tracking, and surface insights from large volumes of engineering and program data; Leverage LLMs, agent frameworks, and retrieval/tool integrations to prototype intelligent assistants for engineering workflows; Collaborate with the team to identify high-value automation opportunities within the technology development lifecycle Competitive Analysis & Intelligence; Research competitive storage technology trends, industry standards activity, and academic publications; Synthesize competitive intelligence into structured reports and briefings for senior technology leadership

Requirements

Required:; Currently pursuing a MS in Electrical Engineering, Computer Engineering, Computer Science, or a closely related field; Strong analytical and systems thinking skills — ability to work through ambiguous problems and build structured frameworks; Experience with data analysis and visualization; Strong written and verbal communication skills — ability to present complex technical topics clearly to mixed audiences; Self-directed with the ability to manage multiple workstreams concurrently Preferred:; Background or coursework in storage systems, computer architecture, or semiconductor technology; Experience building LLM applications, AI agents, agentic workflows, or ML systems; Experience with project management tools; Prior industry internship or co-op experience in a technology or engineering environment