AI Memory Systems Research Intern

Micron Technology, Inc; United States; Remote; USD 69,000 - 77,000; Full time

Job summary

Micron Technology, Inc. seeks a Memory & System Architecture Research Intern to develop and validate a first-principles system-modeling capability for memory-centric architectures in datacenter and AI workloads.

You will translate AI workload trends into memory requirements and quantify architectural tradeoffs to guide future technology direction, collaborating with senior memory and systems architects in a cutting-edge internship.

Qualifications

• Currently pursuing an MS 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).
• Proficiency in Python for building analytical models and performance analysis.

Responsibilities

• 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 reproducibility.
• Quantified analysis: Produce system-level performance, efficiency, and cost analyses that inform architectural decisions.

Skills

Python

Computer architecture

Systems modeling

AI workloads

Education

MS/PhD in Computer Architecture/CE/EE

Tools

Simulation frameworks

Job description

Micron Technology, Inc. seeks a Memory & System Architecture Research Intern to develop and validate a first-principles system-modeling capability for memory-centric architectures in datacenter and AI workloads.

You will translate AI workload trends into memory requirements and quantify architectural tradeoffs to guide future technology direction, collaborating with senior memory and systems architects in a cutting-edge internship.