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Developer Technology Intern, Data Analytics - Summer 2024

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NVIDIA

Oct 26, 2023

Applications are closed

  • Internship
    Full-time
    Summer Internship
  • Data
    Software Engineering
  • San Francisco, +1

Requirements

  • Pursuing a BS, MS, or PhD degree from a leading university in an engineering or computer science related discipline. Specialization in high-performance databases or machine learning is helpful.
  • Programming fluency in C/C++ with a deep understanding of parallel data structures, programming techniques, and algorithms. While not a requirement, experience with Python is useful.
  • Strong mathematical fundamentals, including linear algebra and numerical methods.
  • Experience with parallel programming, ideally CUDA C/C++.
  • Experience with advanced memory management, memory coherence, and data compression is helpful.

Responsibilities

  • Research and develop techniques to GPU-accelerate leading applications in high-performance computing fields within machine learning, data and graph analytics.
  • Profile, analyze bottlenecks, dive into architecture detail and implement optimizations to ensure the best possible application performance on the latest-generation GPU architectures.
  • Collaborate closely with the DevTech optimization experts to develop novel parallel algorithms and leverage new hardware features.

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.