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NVIDIA

GPU and CPU Accelerated Software Libraries Intern

NVIDIA
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hybrid internship 117,750 PLN - 204,100 PLN

First indexed 29 Sept 2026

Description

Join NVIDIA's multidisciplinary team and help build and improve GPU and CPU accelerated software libraries used by leading commercial and academic organisations worldwide.

In this internship, you will be part of a team responsible for developing libraries that provide groundbreaking functionality and performance. You will work with senior software engineers who will provide mentorship and guidance. The project will involve implementing new image and data processing algorithms, defining APIs, analysing performance, finding solutions for difficult numerical corner cases, and other general software engineering tasks.

Responsibilities:

  • Collaborate with team members and partners to understand software use cases and requirements
  • Research, analyse, and document state-of-the-art algorithms
  • Develop algorithms for image and data compression and processing
  • Analyse and improve performance of existing implementations

Requirements:

  • Pursuing a degree in Computer Science, Artificial Intelligence, Applied Math, or a related field
  • Programming skills in C/C++ and Python
  • Experience with parallel or GPU programming (AVX, NEON, OpenMP, MPI, CUDA, or OpenCL)
  • Experience with image coding (jpg, tiff, etc.) or data compression algorithms (LZW, DEFLATE, etc.)

Preferred Qualifications:

  • Knowledge of image processing algorithms
  • Performance analysis and test design skills
  • Familiarity with floating-point arithmetic internals and numerical error analysis

The internship pay is based on the position, location, year in school, degree, and experience. For Poland, the annual range for interns is 117,750 PLN - 204,100 PLN (pro-rated for the duration of the internship).

This listing is enriched and indexed by YubHub. To apply, use the employer's original posting: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/Poland-Warsaw/Image-and-Data-Processing-Libraries-Intern_JR2026569