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Internship

Research Intern, AI Advanced Storage System

🚀 Off-cycle Internship

San Jose

AI generated summary

  • You must be in a PhD/MS STEM program, graduate by 2025/2024, have experience in ML/DL frameworks, and knowledge of storage IO paths for this AI Advanced Storage System research internship.
  • You will develop AI systems with advanced storage, optimize I/O for training, analyze performance and power consumption, and build/evaluate storage systems for LLM Training.

Off-cycle Internship

Research & Development, DataSan Jose

Requirements

  • Accepted or currently enrolled in a PhD/MS program in Computer Science or a related STEM field
  • Expected to complete degree by July 2025 or earlier for PhD’s and 2024 for MS candidates
  • Hands on experience with ML/DL frameworks like TensorFlow/Keras or PyTorch
  • Strong knowledge on a storage IO path including GPU-direct and the FTL

Education requirements

Currently Studying
Masters
PhD

Area of Responsibilities

Research & Development
Data

Responsibilities

  • Develop AI system with advanced storage solutions
  • Optimizing I/O for a AI training system
  • Tracing time series performance and power consumption of storage solutions
  • Build and evaluative the advanced storage system for an LLM Training

Details

Work type

Full time

Work mode

office

Location

San Jose