Intern - Memory Systems Architecture & AI

Job Title

Intern - Memory Systems Architecture & AI

Role Summary

Join the DRAM Systems & Architecture Lab as a research intern to investigate next-generation memory systems for AI accelerators. Work spans tiered memory architectures, workload analysis, prototypes, and system-level evaluation across hardware and software.

Experience Level

Internship - entry-level research role. Typical candidates have 0–2 years of relevant research or practical experience.

Responsibilities

Conduct research and experiments to evaluate memory-system innovations for AI workloads.

• Research and evaluate tiered memory architectures for AI inference and large language model workloads.
• Design and implement experimental methodologies, models, simulations, and prototypes to analyze memory performance and data movement.
• Investigate data placement, cache management, migration mechanisms, and memory-hierarchy optimizations.
• Perform quantitative analysis using hardware platforms, simulators, and FPGA-based prototypes to assess architectural trade-offs.
• Document results, present technical findings, and collaborate with architecture and research teams.

Requirements

Must-have technical skills and abilities for a research-focused intern.

• Strong understanding of computer architecture, memory hierarchy design, and system performance analysis.
• Systems programming experience in C++ and Python (or similar languages).
• Familiarity with performance modeling, simulation, profiling, and benchmarking techniques.
• Experience with experimental system evaluation using simulators or hardware platforms.
• Strong analytical, problem-solving, and technical communication skills.
• Experience using AI-enabled tools and large language models (e.g., Copilot, Claude) to support research or engineering workflows.
• Ability to work independently and collaborate effectively within a research team.

Nice-to-have:

• Research experience in memory systems, AI accelerators, GPUs, large-scale inference, or HPC architectures.
• Experience developing architectural simulators, analytical models, or workload characterization frameworks.
• Familiarity with AI inference workloads, KV cache management, Mixture-of-Experts (MoE) designs, or memory-centric AI systems.
• FPGA development, RTL design, High-Level Synthesis (HLS), or hardware prototyping experience.
• Peer-reviewed publications, patents, or conference presentations in computer architecture or systems research.

Education Requirements

Currently pursuing a PhD in Computer Engineering, Electrical Engineering, Computer Science, or a related technical field. The posting also recognizes research experience obtained through PhD research, publications, internships, or academic projects as relevant preparation.

About the Company

Company: Micron Technology

Headquarters: Boise, Idaho, USA

Micron Technology is a global leader in memory and storage solutions, dedicated to transforming how the world uses information. The company offers a diverse portfolio of high-performance DRAM, NAND, and NOR memory products under the Micron and Crucial brands. With a commitment to customer focus and technological innovation, Micron drives advancements in artificial intelligence, 5G, and other data-centric applications, empowering users to learn, communicate, and progress.