Intern – Memory Systems Architecture & AI Posted

## Intern – Memory Systems Architecture & AISan Jose, California, United States of America Apply Now Find out how well you match with this jobJob :
JR112524
** 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.

The DRAM Systems & Architecture Lab researches next-generation memory architectures that enable future AI, machine learning, and high-performance computing systems. The team explores innovative memory technologies, system architectures, and hardware-software co-design approaches to improve performance, scalability, and efficiency for emerging AI workloads.### As a Research Intern in the DRAM Systems & Architecture Lab, you will conduct research focused on next-generation memory systems for AI accelerators.

You will investigate tiered memory architectures, analyze AI workload behavior, develop experimental prototypes, and evaluate architectural innovations across hardware, software, and system-level environments.

This role offers the opportunity to contribute to research that may influence future product roadmaps, publications, and advanced memory system designs.  Responsibilities
* Research and evaluate tiered memory architectures designed to improve performance and scalability for AI inference and large language model workloads.
* Develop experimental methodologies, models, simulations, and prototypes to analyze memory system performance, data movement, and workload behavior.
* Investigate memory hierarchy optimizations, data placement strategies, cache management, and memory migration mechanisms across AI computing systems.
* Perform quantitative analysis using hardware platforms, simulation environments, and FPGA-based prototypes to evaluate architectural trade-offs.
* Document research findings, present technical results, and collaborate with architecture teams to contribute to future technology strategies and research initiatives.  

Minimum Qualifications  
* 0-2 years of relevant experience through PhD research, publications, internships, academic projects, or experimental systems research in computer architecture, memory systems, AI accelerators, or high-performance computing.
* Currently pursuing a PhD in Computer Engineering, Electrical Engineering, Computer Science, or a related technical field.
* Strong understanding of computer architecture, memory hierarchy design, and system performance analysis.
* Experience with systems programming using C++, Python, or similar programming languages.
* Familiarity with performance modeling, simulation, profiling, benchmarking, or experimental system evaluation methodologies.
* Strong analytical, problem-solving, and technical communication skills.
* Experience using AI-enabled tools and large language models (LLMs), such as Claude, Copilot, or similar technologies to support research, development, or engineering workflows.
* Ability to work independently while collaborating effectively within a research-focused team environment.  

Preferred Qualifications  
* Research experience in memory systems, AI accelerators, GPUs, large-scale inference systems, or high-performance computing architectures.
* Experience developing architectural simulators, analytical models, workload characterization frameworks, or system performance evaluation tools.
* Familiarity with AI inference workloads, large language models, KV cache management, Mixture-of-Experts (MoE) architectures, or memory-centric AI system design.
* Experience with FPGA development, RTL design, High-Level Synthesis (HLS), or hardware…