Developer Technology Engineering Intern - Compute Performance

Nvidia logo Nvidia

📍 4 Locations

Scraped: October 25, 2025

This role is based in multiple locations: Switzerland (Zurich), UK (Bristol), Germany (Wuerselen), and Germany (Berlin).

What you'll do:

  • Research and develop techniques to GPU-accelerate applications in scientific computing, computational engineering, and data science.
  • Perform in-depth analysis and optimization for performance on current and next-generation GPU architectures.
  • Work with application developers to craft and optimize core parallel algorithms and data structures.
  • Collaborate with various teams at NVIDIA to influence design of next-generation architectures and software platforms.

What we need to see:

  • Pursuing a MSc or PhD in engineering or computer science.
  • Programming fluency in C/C++ and/or Fortran.
  • Strong mathematical fundamentals, including linear algebra and numerical methods.
  • Experience with parallel programming, ideally CUDA C/C++ and OpenACC.
  • Strong communication and organization skills.

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