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Intern, Deep/Machine Learing

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Samsung Semiconductor

Nov 20, 2023

Applications are closed

  • Internship
    Full-time
    Off-cycle Internship
  • Data
  • San Francisco

Requirements

  • PhD student with experience in sparse tensor algebra, related use case, and domain specific accelerators.
  • Familiarity with DSL Compiler technology, TACO in particular.
  • An avid learner, you approach challenges with curiosity and resilience, seeking data to help build understanding.
  • You’re collaborative, building relationships, humbly offering support and openly welcoming approaches.
  • Innovative and creative, you proactively explore new ideas and adapt quickly to change.

Responsibilities

  • DSL Compiler and data marshalling accelerator architecture and co-design.
  • Targeting large scale HPC systems and related ML and Science use cases
  • Investigate extensions to SAM and the Tensor Algebra Compiler (TACO) required to support TMU.
  • Identify and evaluate opportunities for enhancing TMU configurability with a CGRA front-end.
  • Complete other responsibilities as assigned.
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Samsung Semiconductor

Manufacturing & Electronics
Industry
10,001+
Employees

Mission & Purpose

Established in 1974 as a subsidiary of Samsung Electronics, we’re proud to be recognized as one of the leading chip manufacturers in the world. Using our knowledge in semiconductor technology, our ambition is to spark the imagination of device manufacturers with top-of-the-line building blocks and, through that, enrich the lives of people around the world with transformative solutions.