Intern - PHY Digital Design & Automation Engineer, HBM
Micron TechnologyAbout the role
Our vision is to transform how the world uses information to enrich life for all. Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. About the Team At Micron Technology, we transform how the world uses information to enrich life for all. The Heterogeneous Integration Group (HIG) HBM Architecture team develops future High-Bandwidth Memory (HBM) architectures, PHY design methodologies, and automation solutions that enable next-generation AI, high-performance computing, networking, and data center applications. The team works closely with Architecture, Design Engineering, Verification, Product Engineering, and external partners to advance memory technologies while improving design quality, productivity, and development efficiency. Position Overview As a Senior or Graduate Engineering Intern, you will collaborate with experienced HBM architects and engineers to support the development of digital design methodologies, automation frameworks, timing analysis flows, and architecture validation solutions for next-generation HBM PHY and IO subsystems. This role offers hands-on experience in digital design, verification, automation, and timing analysis, while providing opportunities to leverage AI Assisted engineering workflows, Large Language Models (LLMs), and Generative AI tools to enhance engineering productivity and design efficiency.
Responsibilities
Support digital design, integration, and timing analysis activities for HBM PHY and IO subsystems, including timing constraint development and timing closure efforts. Develop and implement verification solutions using Verilog/SystemVerilog and UVM-based environments, analyze simulation results, and debug functional or timing-related issues. Create Python-based automation tools and AI Assisted engineering workflows that leverage Large Language Models (LLMs) a
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