Intern - Memory & System Architecture Research
Core
Develop and validate first-principles system-modeling capabilities to evaluate memory-centric architectures for rack-scale AI platforms and quantify tradeoffs before silicon implementation.
Role type
Research intern (memory & system architecture)
Builds
Analytical and simulation models for memory-centric system architectures
Domain
Semiconductor / AI Infrastructure / Memory Systems
Deliverable
production ML models | research
Required skills
Computer architecture, system-level performance analysis, Python, quantitative reasoning, workload characterization
Preferred skills
Memory architectures (HBM, DDR, CXL), near-memory technologies, AI systems benchmarking, simulation frameworks
Technologies
Python, HBM, DDR, LPDDR, CXL, 3D stacking, chiplets, interposers
Responsibilities
Analyze AI training and inference workloads to derive memory requirements; Contribute to analytical and simulation models; Assess system-level tradeoffs across emerging technologies; Benchmark models against reference data; Produce system-level performance and cost analyses; Capture findings in technical reports and invention disclosures
Seniority
Intern
