The board
Micron- Hours
- Full time
- Where
- San Jose, CA
- Posted
- 6 days ago
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.
What you'd do
- 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.
What they want
- 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.
- Starts
- 2026-09-28