Software Engineering Intern, CUDA Core Libraries - Summer 2026

Nvidia logo Nvidia

📍 3 Locations

Scraped: Yesterday

This role is based in Germany (Munich and Remote) and France (Remote).

What you'll be doing:

  • Contribute to the design and implementation of CUDA Core Libraries in C++ and/or Python.
  • Design and optimize GPU algorithms and APIs.
  • Improve developer experience through tests, benchmarks, and documentation.
  • Collaborate with experienced CUDA engineers.

What we need to see:

  • Currently pursuing a BS, MS, or PhD in Computer Science or related field.
  • Strong programming skills in C++, Python, or both.
  • Familiarity with modern C++ and/or Python library development.
  • Experience with parallel programming (CUDA, OpenMP, etc.).
  • Ability to work independently and drive projects to completion.

Ways to stand out from the crowd:

  • Knowledge of CPU/GPU architecture.
  • Hands-on experience with CUDA C++, CUDA Python, or related stacks.
  • Familiarity with libraries like Thrust, CUB, or similar.

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