PhD Intern — AI Hardware & Memory Architecture

Micron Technology, Inc; Folsom (CA); On-site; USD 104,000 - 114,000; Full time

Benefits offered by this job

Benefits package

Equity/options

Bonuses

Job summary

Micron Technology, Inc. seeks a PhD Intern for the HBM Architecture team to explore advanced memory and system architecture concepts for AI accelerators. You will develop performance models, analyze AI workloads, and study memory hierarchy effects on system performance.

The role offers collaboration with experienced architects, focusing on AI compute platforms and next-generation memory technologies. Ideal for candidates pursuing a PhD in related fields with strong analytical and programming

Qualifications

• Pursuing a PhD in Computer Architecture, Electrical/Computer Engineering, CS, or related field.
• 0–2 years of research, internships, or project experience in computer architecture, memory systems, AI hardware.

Responsibilities

• Research and prototype memory and system architecture concepts for AI accelerators.
• Develop performance models to analyze bandwidth, latency, power, and scalability.
• Analyze AI training, inference, and HPC workloads to identify bottlenecks.
• Collaborate with cross-functional teams and explore AI/LLM tools to aid research.

Skills

Python

C++

Performance modeling

System analysis

Analytical thinking

Education

PhD in Computer Architecture or related field

Tools

PyTorch

TensorFlow

CUDA

Job description

Micron Technology, Inc. seeks a PhD Intern for the HBM Architecture team to explore advanced memory and system architecture concepts for AI accelerators. You will develop performance models, analyze AI workloads, and study memory hierarchy effects on system performance.

The role offers collaboration with experienced architects, focusing on AI compute platforms and next-generation memory technologies. Ideal for candidates pursuing a PhD in related fields with strong analytical and programming