Intern – Memory Systems Architecture & AI
Core
Research next-generation memory systems and tiered architectures to optimize performance for AI accelerators and large language model workloads.
Role type
Research Intern (Computer Architecture & Memory Systems)
Builds
Experimental prototypes, simulations, and architectural models for AI computing systems
Domain
Semiconductor industry, High-Performance Computing, AI Hardware
Deliverable
research
Required skills
Computer architecture, Memory hierarchy design, Systems programming (C++, Python), Performance modeling and simulation, FPGA-based prototyping, AI tool usage (LLMs)
Preferred skills
GPU architecture, KV cache management, Mixture-of-Experts (MoE) design, RTL design, High-Level Synthesis (HLS), Peer-reviewed publications
Technologies
C++, Python, FPGA, LLMs (Claude, Copilot), Simulators
Responsibilities
Research and evaluate tiered memory architectures for AI inference; Develop experimental methodologies and prototypes; Investigate memory hierarchy optimizations and data placement; Perform quantitative analysis using hardware platforms and simulations; Document findings and collaborate with architecture teams
Seniority
Intern (0-2 years experience, PhD candidate)