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Image and Data Processing Libraries Intern

Nvidia

Nvidia is also hiring for this role in Poland, Warsaw, Switzerland, Zurich, Germany, Berlin.

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What processing roles keep asking for: Python (27%), C++ (17%), Agile (14%), CI/CD (14%), Git (13%), MATLAB (12%), System design (12%) — counted across their open postings here.

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Questions you are likely to be asked

  1. Why do you want to join Nvidia?
  2. What is your experience with C++? Tell me one thing you learned the hard way.
  3. Tell me about a problem you solved at work that you are proud of.
  4. Tell me about a time you disagreed with your manager. What happened?
  5. Where do you want to be in three years?

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Around the world, leading commercial and academic organizations are using GPU to redefine AI, scientific and engineering simulations, and data analytics. Did you know that the GPU accelerated libraries developed by NVIDIA are used in such industries such as healthcare, VR, autonomous vehicles, social media, and e-commerce? If the idea of contributing to these excite you, come join our team and help us build accelerated software libraries which are used by the entire world. In this role you will be part of our team responsible for the development of libraries that provide groundbreaking functionality and performance. The internship may include extending the capabilities of existing as well as building new libraries that will be used in various AI and HPC applications. It will involve working with senior software engineers who will provide mentorship and guidance. The project will include implementing new image and data processing algorithms, defining APIs, analyzing performance, finding appropriate solutions for difficult numerical corner cases, and other general software engineering work. What you’ll be doing: Collaborating with team members and other partners to understand software use cases and requirements. Research, analyze, and document state-of-the art algorithms Develop algorithms for image and data compression and processing Analyze and improve performance of existing implementations ​What we need to see: Pursuing a degree in Computer Science, Artificial Intelligence, Applied Math, or related field Programming skills (C/C++, Python) Parallel or GPU programming experience (AVX, NEON, OpenMP, MPI, CUDA or OpenCL) Experience with image coding (jpg, tiff, etc) or data compression algorithms (LZW, DEFLATE, etc) Ways to stand out from the crowd: Knowledge of image processing algorithms Performance analysis and test design skills Familiarity with floating-point arithmetic internals and numerical error analysis. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you! We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Our internship pay is based on the position, your location, year in school, degree, and experience. For Poland: the annual range for our interns is 117,750 PLN - 204,100 PLN. (pro-rated for the duration of the internship). #deeplearning

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Listed on workday · posted 2026-10-28. ApplySarthi collects openings and links to application pages; the role is advertised by Nvidia, not by us.