Micron Technology
San Jose, CA
Intern – Memory Systems Architecture & AI
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- Location
- San Jose, CA
- Work type
- Onsite
- Posted
- 6 days ago
- Apply on
- micron.wd1.myworkdayjobs.com
About this role
Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence. The DRAM Systems & Architecture Lab researches next-generation memory architectures for future AI, machine learning, and high-performance computing systems, exploring innovative memory technologies, system architectures, and hardware-software co-design approaches to improve performance, scalability, and efficiency for emerging AI workloads.
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.
## 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.
## Minimum Qualifications
- 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.
- Currently pursuing a PhD in Computer Engineering, Electrical Engineering, Computer Science, or a related technical field.
- Strong understanding of computer architecture, memory hierarchy design, and system performance analysis.
- Experience with systems programming using C++, Python, or similar programming languages.
- Familiarity with performance modeling, simulation, profiling, benchmarking, or experimental system evaluation methodologies.
- Strong analytical, problem-solving, and technical communication skills.
- Experience using AI-enabled tools and large language models (LLMs), such as Claude, Copilot, or similar technologies, to support research, development, or engineering workflows.
- Ability to work independently while collaborating effectively within a research-focused team environment.
## Preferred Qualifications
- Research experience in memory systems, AI accelerators, GPUs, large-scale inference systems, or high-performance computing architectures.
- Experience developing architectural simulators, analytical models, workload characterization frameworks, or system performance evaluation tools.
- Familiarity with AI inference workloads, large language models, KV cache management, Mixture-of-Experts (MoE) architectures, or memory-centric AI system design.
- Experience with FPGA development, RTL design, High-Level Synthesis (HLS), or hardware prototyping platforms.
- Peer-reviewed publications, conference presentations, patents, or other demonstrated research contributions in computer architecture or systems research.
- Experience working across hardware, software, and runtime layers to evaluate end-to-end system performance and optimization opportunities.
- Demonstrated curiosity, initiative, adaptability, and passion for research and emerging technologies.
## Compensation
The estimated US base salary range for this full-time position is $49.85–$49.85 an hour. Additional compensation may include benefits, bonuses, and equity. Compensation details in US role postings reflect base salary only and do not include bonus, equity, or benefits.
## Benefits
Micron offers medical, dental, and vision plans; income protection benefits for illness or injury; paid family leave; a paid time-off program; and paid holidays.
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