The board
Micron- Hours
- Full time
- Where
- Folsom, CA
- Posted
- Sep 4
Our vision is to transform how the world uses information to enrich life for all.
Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever.
Our Cloud Memory Business Unit defines and incubates next-generation memory and system architectures for datacenter and AI workloads. In this internship you will help develop and validate a first-principles system-modeling capability that evaluates memory-centric architectures across rack-scale AI platforms — quantifying tradeoffs before committing to silicon or full software implementations.
We are seeking a Memory & System Architecture Research Intern with a strong computer-architecture and systems-modeling background to characterize AI workloads and help build and validate performance…
What you'd do
- Workload characterization: Analyze AI training and inference workloads to derive memory bandwidth, capacity, and latency requirements.
- System modeling: Contribute to analytical and simulation models that evaluate memory-centric system architectures at scale.
- Architecture studies: Assess system-level tradeoffs across emerging memory and integration technologies.
- Validation & accuracy: Benchmark models against reference data to improve accuracy and ensure reproducible results.
- Quantified analysis: Produce system-level performance, efficiency, and cost analyses that inform architectural decisions.
- Documentation & publishing: Capture findings in internal technical reports and contribute to invention disclosures where applicable.
What they want
- Currently pursuing an M.S. or Ph.D. in Computer Architecture, Computer Engineering, Electrical Engineering, or a related field.
- 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.
- Good verbal and written communication and problem-solving abilities.
- Starts
- 2026-09-03