AI Memory Systems Research Intern

Micron Technology, Inc; California (MO); On-site; USD 69,000 - 77,000; Full time

Job summary

Micron Technology, Inc. is seeking a Memory & System Architecture Research Intern with a strong background in computer architecture to characterize AI workloads and build performance models for memory systems.

The role involves translating AI workload trends into memory requirements, contributing to models at scale, and publishing findings; graduate or Ph.D. students welcome; this internship is based in the United States with a base salary range per hour of $50.24–$55.82, with additional

Qualifications

• Pursuing an MS or PhD in Computer Architecture, Computer Engineering, Electrical Engineering, or related field.
• Strong background in computer architecture and system-level performance analysis.
• Proficiency in Python for building analytical models.
• Excellent verbal and written communication skills.

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.
• 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.

Skills

Python

Computer Architecture

Performance analysis

System modeling

Education

MS/PhD in Computer Architecture/Engineering

Tools

Simulation frameworks

Job description

Micron Technology, Inc. is seeking a Memory & System Architecture Research Intern with a strong background in computer architecture to characterize AI workloads and build performance models for memory systems.

The role involves translating AI workload trends into memory requirements, contributing to models at scale, and publishing findings; graduate or Ph.D. students welcome; this internship is based in the United States with a base salary range per hour of $50.24–$55.82, with additional