About the role#
The Storage and Memory Systems Pathfinding team explores next-generation memory, storage, and interconnect technologies for AI, cloud, and high-performance computing. As an intern, you will research photonic interconnect technologies that enable disaggregated memory architectures. You will develop modeling and analysis tools to evaluate silicon photonic memory fabrics and assess how optical interconnects improve memory capacity, latency, bandwidth, energy efficiency, and scalability for AI workloads.
What you'll do#
- Develop parameterized photonic link budget and system-level models for 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 like HBM, DDR5, and LPDDR.
- Evaluate protocol and system-level impacts of CXL-based memory expansion and disaggregated memory architectures for AI workloads.
- Use AI-enabled tools 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 measurement results.
- Collaborate with architects, researchers, and industry partners to share findings through technical reports, white papers, presentations, and architecture recommendations.
What you'll need#
- Currently pursuing a Master's or PhD degree in Electrical Engineering, Computer Engineering, Photonics, Optics, Applied Physics, or a related technical discipline.
- 0-2 years of relevant experience through research, internships, academic projects, publications, or coursework in photonics, optical interconnects, computer architecture, or memory systems.
- Coursework or research experience in silicon photonics, integrated optical devices, computer architecture, memory systems, interconnects, or system design.
- Proficiency in Python and scientific computing tools for modeling, simulation, and data analysis.
- Strong analytical, communication, presentation, and collaborative problem-solving skills.
- Experience with photonic link budget analysis, optical transceivers, optical communications, or photonic system modeling is preferred.
- Familiarity with CXL, PCIe, memory fabrics, memory expansion architectures, or large-scale system interconnects.
- Experience with photonic simulation tools such as Lumerical, GDSFactory, MEEP, SAX, or Simphony.
- Knowledge of AI infrastructure, AI inference workloads, GPU memory systems, memory pooling, or large language model architectures.
- Publications, research contributions, or hands-on experience involving photonic systems, optical networks, memory architectures, hardware characterization, or experimental validation.
Location & details#
- This role is located in Richardson, Texas.
- The position is on-site and full-time.
- This is a paid internship.
About Micron Technology
Micron Technology produces memory and storage solutions including DRAM, NAND, and NOR products. The company operates as a public organization with over 43,000 employees. Founded in 1978, it maintains its headquarters in Boise, Idaho. Micron serves various markets ranging from data centers to mobile devices.
How to get in at Micron Technology
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