Principal GPU Memory Architect

Job Summary

Principal GPU Memory Simulation Architect is a full-time position focused on designing and developing next-generation GPU memory and on-chip interconnect performance models, requiring extensive experience in architectural simulation and GPU memory systems.

Key Responsibilities

• Develop and refine NOC performance and functional models using AI technologies
• Define innovative features for GPU memory and on-chip interconnect subsystems
• Analyze benchmarks and simulation results to optimize architecture

Required Qualifications

• Bachelor's degree in Computer Engineering, Electrical Engineering, Computer Science, or a related field
• 15+ years of relevant professional experience
• Strong performance modeling experience and ability to build architectural simulation infrastructure
• Experience in large-scale software development with programming skills in C/C++ and Python
• Deep expertise in GPU architecture, including memory systems and interconnect design