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Developer Technology Engineering Intern

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Developer Technology Engineering Intern in Others

  • Munich, Germany

Responsibilities

  • Research and develop techniques to GPU-accelerate applications in scientific computing, computational engineering, and data science.
  • Perform in-depth analysis and optimization for current and next-generation GPU architectures.
  • Work with application developers to design and optimize parallel algorithms and data structures using GPUs.
  • Develop libraries and contribute directly to applications.
  • Collaborate with architecture, research, libraries, tools, and system software teams on future architectures, software platforms, and programming models.

Requirements

  • Pursuing an MSc or preferably PhD in an engineering, computer science, or related discipline.
  • Fluency in C/C++ and/or Fortran, with a deep understanding of software design, programming techniques, and algorithms.
  • Strong mathematical fundamentals, including linear algebra and numerical methods.
  • Experience with parallel programming, ideally CUDA C/C++ and OpenACC.
  • Strong communication, organization, problem-solving, time-management, and prioritization skills.
  • Domain expertise in telecommunications, medical imaging, machine learning, deep learning, or natural sciences is helpful but not required.

Benefits

  • Comprehensive benefits package.
  • Internship pay is prorated for the duration of the internship.
  • Expected annual rates are EUR 47,850–82,940 in Germany and EUR 40,500–70,200 in France.

Nvidia

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 n...

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