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. This includes projects like CCCL (Thrust, CUB, libcudacxx), cuda-python, and numba-cuda. Join the team building the foundational libraries, algorithms, language and compiler infrastructure that make CUDA a speed of light delight for developers across a wide range of workloads including deep learning, scientific computing, and data analytics. * Contribute to the design and implementation of CUDA Core Libraries in C++ and/or Python, including parallel a
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