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Internship

Intern, Edge AI / On-device AI NPU Architecture Research

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SK hynix America

•

23d ago

🚀 Off-cycle Internship

San Jose

⌛ Closed
Applications are closed

Off-cycle Internship

Research & Development, Data•San Jose

Description

Projects will be assigned to intern(s):

  • AI algorithm optimization and acceleration research

Requirements

  • Master or PhD candidate
  • Knowledge in Generative AI fundamentals such as CNN, RNN, LSTM, Diffusion Models and LLMs.
  • Knowledge in advanced packaging (2.5D and 3D), chip-to-chip interconnection and its simulation
  • Fluent in RTL coding (Verilog) and a relevant tool (ModelSIM, Cadence)
  • Experience in analog simulation (PSpice)
  • Strong sense of teamwork and collaboration
  • Preferred Major(s):
  • Electrical Engineering or Computer Engineering

Education requirements

Currently Studying
Masters
PhD

Area of Responsibilities

Research & Development
Data

Responsibilities

  • You will research and evaluate various NPUs and their memory solution architectures for the edge AI / on-device AI applications for Memory-Centric Computing.
  • Includes SRAM-based in-memory computing, In-DRAM Computing, and NPU-memory interconnection.

Details

Work type

Full time

Work mode

office

Location

San Jose