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Micron Technology

Makes memory and storage chips for AI and PCs

Memory Systems Architecture & AI Intern - Research

Hardware Systems IntegrationConfirmed live in the last 24 hours
InternshipSan Jose, CA, USAIn-person

About the Job

Requirements

  • Currently pursuing a PhD in Computer Engineering, Electrical Engineering, Computer Science, or a related technical field.
  • Have 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.
  • Have a strong understanding of computer architecture, memory hierarchy design, and system performance analysis.
  • Have experience with systems programming using C++, Python, or similar programming languages.
  • Be familiar with performance modeling, simulation, profiling, benchmarking, or experimental system evaluation methodologies.
  • Have strong analytical, problem-solving, and technical communication skills.
  • Have experience using AI-enabled tools and large language models, such as Claude or Copilot, to support research, development, or engineering workflows.
  • Be able to work independently while collaborating effectively within a research-focused team environment.

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.

Desired Qualifications

  • Have research experience in memory systems, AI accelerators, GPUs, large-scale inference systems, or high-performance computing architectures.
  • Have experience developing architectural simulators, analytical models, workload characterization frameworks, or system performance evaluation tools.
  • Be familiar with AI inference workloads, large language models, KV cache management, Mixture-of-Experts architectures, or memory-centric AI system design.
  • Have experience with FPGA development, RTL design, High-Level Synthesis, or hardware prototyping platforms.
  • Have peer-reviewed publications, conference presentations, patents, or other demonstrated research contributions in computer architecture or systems research.
  • Have experience working across hardware, software, and runtime layers to evaluate end-to-end system performance and optimization opportunities.

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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