Photonic Pathfinding Intern: Memory Systems & AI

Micron Technology, Inc.; Richardson (TX); On-site; USD 40,000 - 55,000; Part time

Benefits offered by this job

Mentorship program

Flexible schedule

Job summary

Micron Technology, Inc. in Richardson, Texas, is seeking an intern for the Storage and Memory Systems Pathfinding group to research photonic interconnects and disaggregated memory architectures for future AI workloads.

You will develop modeling tools, analyze system-level tradeoffs, and explore how optical interconnects can improve memory capacity, latency, bandwidth, energy efficiency, and scalability across AI workloads.

Qualifications

• Pursuing a Master’s or PhD in Electrical Engineering, Computer Engineering, Photonics, Optics, Applied Physics, or a related technical discipline.

Responsibilities

• Develop parameterized photonic link budget and system-level models to evaluate optical memory fabrics, including lasers, modulators, waveguides, switches, photodetectors, and interconnect architectures.
• Analyze performance, latency, bandwidth, power efficiency, reliability, and scalability tradeoffs across photonic memory architectures and memory technologies such as HBM, DDR5, and LPDDR.
• Evaluate protocol and system-level impacts of CXL-based memory expansion and disaggregated memory architectures for AI workloads.
• Utilize AI-enabled tools and technologies to improve productivity, data analysis, technical problem solving, documentation, and decision-making.
• Calibrate and validate models using industry data, proof-of-concept platforms, simulations, and available measurement results.
• Collaborate with architects, researchers, and industry partners to communicate findings through technical reports, white papers, presentations, and architecture recommendations.

Skills

Python

Analytical thinking

Communication

Collaboration

Education

Master's or PhD in Electrical Engineering, Computer Engineering, Photonics, Optics

Tools

Lumerical

GDSFactory

MEEP

SAX

Simphony

Job description

Micron Technology, Inc. in Richardson, Texas, is seeking an intern for the Storage and Memory Systems Pathfinding group to research photonic interconnects and disaggregated memory architectures for future AI workloads.

You will develop modeling tools, analyze system-level tradeoffs, and explore how optical interconnects can improve memory capacity, latency, bandwidth, energy efficiency, and scalability across AI workloads.