At the core of this platform are the CUDA Core Libraries-C++ and Python libraries that enable developers to write fast, reliable, scalable GPU-accelerated software. We are looking for outstanding interns to contribute to the CUDA Core Libraries that power GPU computing for both C++ and Python developers. * Strong programming skills in C++, Python, or both, with interest in systems-level development (performance, memory, concurrency, API design). * Familiarity with modern C++ (templates, generics, standard library) and/or Python library development and packaging. * Experience with software libraries or open-source projects, including testing, performance profiling, and code reviews.
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