Intern - DRAM Architecture

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 and analysis. You will work closely with architects and researchers to evaluate next-generation memory technologies, build simulation environments, perform performance analysis, and apply advanced AI capabilities to automate architectural studies and design-space exploration.

• 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.

• 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.
• Experience using generative AI platforms such as Microsoft Copilot, GPT, Claude, Gemini, or similar technologies.
• Strong analytical, problem-solving, technical communication, and collaboration skills.

• Experience developing AI agents, AI-assisted automation workflows, Retrieval-Augmented Generation (RAG) systems, or LLM-based engineering tools.
• Familiarity with AI workflow orchestration, prompt engineering, agentic workflows, and automation frameworks.
• Experience integrating AI capabilities into scientific computing, simulation platforms, data analytics environments, or research workflows.
• Knowledge of memory architectures such as DRAM, LPDDR, DDR6, MRDIMM, CAMM, HBM, or emerging memory technologies.
• Experience with architectural simulators, performance modeling, workload characterization, benchmarking, or design-space exploration.
• Research experience in computer architecture, memory systems, AI infrastructure, high-performance computing, or data center technologies.
• Publications, conference presentations, patents, or demonstrated research contributions in relevant technical fields.

The US base salary range that Micron Technology estimates it could pay for this full-time position is: $46.51 - $55.82 an hour

Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target base pay for new hire salaries of the position across all US locations. Within the range, individual pay is determined by work location and additional job-related factors, including knowledge, skills, experience, tenure and relevant education or training. The pay scale is subject to change depending on business needs.

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