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Micron Technology

Makes memory and storage chips for AI and PCs

DRAM Architecture Research Intern

Hardware Systems IntegrationConfirmed live in the last 24 hours
InternshipIn-person

About the Job

Requirements

  • Currently pursuing a Master's or PhD degree in Computer Engineering, Electrical Engineering, Computer Science, or a related technical field.
  • Have 0–2 years of relevant experience through research, internships, academic projects, publications, or engineering experience in computer architecture, memory systems, simulation, artificial intelligence, or software development.
  • Have experience programming in Python, C++, or similar languages used for software development, simulation, automation, or data analysis.
  • Have familiarity with computer architecture, memory systems, performance analysis, modeling, simulation, or systems research.
  • Have demonstrated ability to use artificial intelligence-enabled tools to improve productivity, technical analysis, problem-solving, and engineering workflows.
  • Have experience using generative artificial intelligence platforms such as Microsoft Copilot, GPT, Claude, Gemini, or similar technologies.
  • Have analytical, problem-solving, technical communication, and collaboration skills.

Responsibilities

  • Develop and enhance software frameworks, simulation environments, and automation tools that support DRAM architecture research and evaluation.
  • Design and implement artificial intelligence-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.

Desired Qualifications

  • Have experience developing artificial intelligence agents, artificial intelligence-assisted automation workflows, Retrieval-Augmented Generation systems, or large language model-based engineering tools.
  • Have familiarity with artificial intelligence workflow orchestration, prompt engineering, agentic workflows, and automation frameworks.
  • Have experience integrating artificial intelligence capabilities into scientific computing, simulation platforms, data analytics environments, or research workflows.
  • Have knowledge of memory architectures such as DRAM, LPDDR, DDR6, MRDIMM, CAMM, HBM, or emerging memory technologies.
  • Have experience with architectural simulators, performance modeling, workload characterization, benchmarking, or design-space exploration.
  • Have research experience in computer architecture, memory systems, artificial intelligence infrastructure, high-performance computing, or data center technologies.
  • Have publications, conference presentations, patents, or demonstrated research contributions in relevant technical fields.

About the Company

Micron Technology

Makes memory and storage chips for AI and PCs

Micron Technology designs and manufactures memory and storage chips, mainly DRAM and NAND flash, used in data centers, PCs, phones, cars and industrial equipment. It is one of only three companies that make HBM, the stacked high-bandwidth memory placed beside processors in AI servers, and it is the largest memory chipmaker based in the United States. Unlike chip designers that outsource production, Micron runs its own fabs and assembly sites in the United States and across Asia. It earns money by selling chips, memory modules and solid-state drives to cloud providers, device makers and distributors. Micron was founded in 1978 and is headquartered in Boise, Idaho.

Company size
10,001+
Company stage
IPO
Headquarters
Boise, ID
Founded
1978

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