Intern - Memory & System Architecture Research
Micron TechnologyJob Title
Intern - Memory & System Architecture Research
Role Summary
Join the Cloud Memory Business Unit to develop and validate first-principles system models that evaluate memory-centric architectures for rack-scale AI and datacenter platforms. The role focuses on characterizing AI workloads and producing quantitative analyses to guide memory technology and system-level decisions.
Experience Level
Entry-level internship intended for graduate students (M.S. or Ph.D.). Candidates are typically currently enrolled in a graduate program and comfortable with research-oriented, ambiguous problems.
Responsibilities
Conduct workload analysis, build and validate system performance models, and communicate quantified tradeoffs to inform architecture and product direction.
- Characterize AI training and inference workloads to derive memory bandwidth, capacity, and latency requirements.
- Develop analytical and simulation-based system models to evaluate memory-centric architectures at scale.
- Assess system-level tradeoffs across emerging memory and integration technologies.
- Benchmark models against reference data to improve accuracy and reproducibility.
- Produce performance, efficiency, and cost analyses that inform long-term decisions.
- Document findings in technical reports and contribute to invention disclosures as applicable.
Requirements
Must-have technical skills and experience for immediate contribution; preferred items follow.
- Strong background in computer architecture and system-level performance analysis (memory hierarchy, bandwidth, latency, scaling).
- Ability to analyze complex memory and AI performance challenges and reason about tradeoffs quantitatively.
- Proficiency in Python for building analytical models and performance analysis.
- Experience with benchmarking, model validation, and ensuring reproducible results.
- Good verbal and written communication and problem-solving abilities.
- Nice-to-have: familiarity with memory technologies (HBM, DDR, LPDDR, CXL, emerging memories).
- Understanding of near-memory and advanced integration (3D stacking, chiplets, interposers, heterogeneous packaging).
- Experience with AI systems and accelerators (GPU/ASIC) and design-space exploration.
- Familiarity with simulation frameworks and reproducible experimentation workflows.
Education Requirements
Currently pursuing an M.S. or Ph.D. in Computer Architecture, Computer Engineering, Electrical Engineering, or a related technical field (graduate-level enrollment required).
About the Company
Company: Micron Technology
Headquarters: Boise, Idaho, USA
Micron Technology is a global leader in memory and storage solutions, dedicated to transforming how the world uses information. The company offers a diverse portfolio of high-performance DRAM, NAND, and NOR memory products under the Micron and Crucial brands. With a commitment to customer focus and technological innovation, Micron drives advancements in artificial intelligence, 5G, and other data-centric applications, empowering users to learn, communicate, and progress.
