Data Movement Architecture Intern

Required

• A highly motivated student who enjoys deep technical exploration and performance analysis.
• Curious about how data moves across compute, memory, and networking in complex AI/CPU systems.
• Comfortable interpreting simulation data and evaluating architecture tradeoffs.
• A strong communicator who collaborates well across multidisciplinary teams.
• Pursuing an MS/PhD in Computer Engineering, Computer Science, Electrical Engineering, or a related field.
• Solid understanding of computer architecture topics such as interconnects, memory hierarchies, and caching.
• Proficiency in C/C++ and scripting languages like Python or Shell.
• Experience with RTL design and simulation.
• What You Will Learn
• Designing and optimizing data movement subsystems including CPU controllers, DMA engines, and accelerators.
• Conducting performance exploration for CPU controller features and system-level data movement.
• Performing PPA analysis and developing reduced data movement kernels for modeling and emulation.