The board
Micron- Hours
- Full time
- Where
- San Jose, CA
- Posted
- 4 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 and develops next-generation memory architectures that enable future AI, cloud, data center, and high-performance computing platforms. By combining advanced modeling, simulation, AI-enabled workflows, and architectural innovation, the team evaluates emerging memory technologies and defines solutions that improve performance, scalability, and efficiency for future memory systems.
As a DRAM Architecture Research Intern, you will develop software frameworks, automation tools, and AI-assisted workflows that accelerate memory architecture research…
What you'd do
- Develop and enhance software frameworks, simulation environments, and automation tools that support DRAM architecture research and evaluation.
- Design and implement AI-assisted workflows for simulation generation, experiment automation, data analysis, technical documentation, and engineering productivity.
- Analyze memory architectures, including DRAM, LPDDR, DDR6, MRDIMM, CAMM, and emerging memory technologies, using modeling and simulation techniques.
- Perform performance, power, bandwidth, latency, and workload characterization studies to identify architectural trade-offs and optimization opportunities.
- Collaborate with architects and researchers to document methodologies, present findings, and contribute to future memory technology strategies and research initiatives.Minimum Qualifications
- 0-2 years of relevant experience through research, internships, academic projects, publications, or engineering experience in computer architecture, memory systems, simulation, AI, or software development.
- Currently pursuing a Master's or PhD degree in Computer Engineering, Electrical Engineering, Computer Science, or a related technical field.
- Experience programming in Python, C++, or similar languages used for software development, simulation, automation, or data analysis.
- Familiarity with computer architecture, memory systems, performance analysis, modeling, simulation, or systems research.
- Demonstrated ability to leverage AI-enabled tools to improve productivity, technical analysis, problem-solving, and engineering workflows.
- Starts
- 2026-10-01