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Software Intern, Linear Algebra Libraries - 2024

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NVIDIA

Oct 23, 2023

Applications are closed

  • Internship
    Full-time
    Off-cycle Internship
  • Software Engineering
  • San Francisco

Requirements

  • Studying towards a MS or PhD degree in Computer Science, Applied Math, Engineering, or related field.
  • Strong C++ programming, debugging, performance analysis, and test design skills.
  • Experience implementing sparse or dense linear algebra algorithms.
  • Parallel programming experience using CUDA, multi-threading or MPI.
  • Ways to stand out from the crowd:
  • Exposure to floating-point arithmetic and numerical error analysis.
  • A scripting language, preferably Python.

Responsibilities

  • Prototype and develop numerical algorithms for high-performance math libraries in the areas of dense and sparse linear algebra for single node and multi GPU clusters
  • Analyze the performance of GPU or CPU implementations and find opportunities for improvements.
  • Collaborate with team members to understand software use cases and requirements

Manufacturing & Electronics
Industry
10,001+
Employees
1993
Founded Year

Mission & Purpose

Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.

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