# Intern – Memory Systems Architecture & AI at Micron Technology

- Company: Micron Technology
- What the company does: Micron is a global leader in memory and storage, powering AI and compute-intensive applications from cloud to edge with innovative semiconductor solutions.
- Company website: https://www.micron.com
- Type: Startups (AI role)
- Level: Internship
- Location: San Jose, CA
- Work setup: On-site
- Posted: 2026-09-28
- Apply by: 2026-11-12
- Apply: https://micron.wd1.myworkdayjobs.com/en-US/External/job/San-Jose-CA/Intern---Memory-Systems-Architecture---AI_JR112524?utm_source=1752vc&utm_medium=careers
- Page: https://www.1752.vc/careers/jobs/micron-technology-intern-memory-systems-architecture-and-ai/

## About the role

As a Research Intern in the DRAM Systems & Architecture Lab, you will conduct research focused on next-generation memory systems for AI accelerators. You will investigate tiered memory architectures, analyze AI workload behavior, develop experimental prototypes, and evaluate architectural innovations across hardware, software, and system-level environments. This role offers the opportunity to contribute to research that may influence future product roadmaps, publications, and advanced memory system designs. Found on 1752vc Careers, the job board for startup and VC roles.

## What they're looking for

- 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
- Currently pursuing a PhD in Computer Engineering, Electrical Engineering, Computer Science, or a related technical field


Source: 1752vc Careers, https://www.1752.vc/careers/jobs/micron-technology-intern-memory-systems-architecture-and-ai/