Memory Architecture Intern

Who You Are:

• Currently pursuing a Ph.D. in Computer Engineering, Electrical Engineering, or a related field.
• Strong foundation in computer architecture, specifically the memory subsystem.
• Hands-on experience with performance modeling and simulation tools.

What We Need:

• Analyze and project the system balance for our next-generation AI computer.
• Characterize memory-intensive AI workloads and model data movement within our Galaxy scale-out architecture.
• Develop a performance model for the memory chiplet and conduct thorough performance bottleneck analysis.

What You Will Learn:

• Gain deep exposure to our cutting-edge chiplet product family and overall system architecture.
• Become proficient in the performance bottleneck analysis methodology for high-performance memory subsystems.
• Directly contribute to shaping the architectural roadmap for our next-generation AI computers.