Micron
Intern - Next-Generation HBM Architecture
Folsom, CA · Internship · Posted Oct 5, 2026
- Experience
- 0-2 years of relevant experience through internships, research, academic projects, publications, or coursework.
- Education
- Currently pursuing a Bachelor's, Master's, or PhD degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field.
About the job
Contribute to the architecture and microarchitecture of future HBM products by evaluating features, modeling performance, and analyzing workloads for AI and high-performance computing applications.
What you'll do
- Research and evaluate HBM architecture features, including scheduling, refresh, reliability, thermal behavior, and controller interactions.
- Develop performance models, simulators, and analytical tools; analyze results and recommend architectural trade-offs.
- Collaborate on feature definition, design reviews, specifications, and roadmaps, using AI-assisted tools and validating their outputs.
What they ask for
- Currently pursuing a Bachelor's, Master's, or PhD degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field.
- Coursework or project experience in computer architecture, memory hierarchies, DRAM technologies, interconnects, or hardware system design.
- Programming experience with Python and at least one of C++, SystemVerilog, or similar engineering languages.
- Ability to interpret technical specifications, standards documentation, datasheets, or hardware interface definitions; experience using AI coding assistants and LLMs in engineering workflows.
Nice to have
- Experience with memory or system simulation tools such as Ramulator, DRAMSim, or gem5.
- Knowledge of memory technologies or subsystems, reliability concepts, digital design, or AI accelerator architectures.
Pay
$50.24 - $50.24 an hour USD base salary
Tools
Python, C++, SystemVerilog, Ramulator, DRAMSim, gem5, GitHub Copilot, Claude, ChatGPT
AI focus
Use AI-assisted engineering tools and workflows for software development, specification analysis, data exploration, and technical documentation; validate outputs with engineering judgment.
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