The opportunityHitachi Energy Research Center Kraków is offering an internship position for a CUDA Software Developer with C++ and Python. As part of the research team, you will contribute to the development of parallel algorithms for solving large-scale power systems problems on the GPU. You will have the chance to collaborate with domain experts, participate in research projects and potentially publish your results in scientific journals or conferences. We will provide you with access to high performance computing infrastructure.How you make an impactYour will support the team in the development of parallel algorithms in CUDA C++ and Python, using GPU libraries such as cuDSS, cuSparse, cuBLASYou will learn how to solve large-scale problems for optimization and simulation of power systemsYou will implement state-of-the-art algorithms and benchmark them against existing solutions
The opportunityHitachi Energy Research Center Kraków is offering an internship position for a CUDA Software Developer with C++ and Python. As part of the research team, you will contribute to the development of parallel algorithms for solving large-scale power systems problems on the GPU. You will have the chance to collaborate with domain experts, participate in research projects and potentially publish your results in scientific journals or conferences. We will provide you with access to high performance computing infrastructure.How you make an impact
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Your backgroundYou are a student in the field of science, technology, engineering and mathematicsYou are familiar with linear algebra and matrix calculusYou are comfortable with both, C++ and Python, including numerical calculation librariesYou have basic understanding of computer architectureYou have a scientific and problem-solving mindsetYou know how to express your ideas and present results of your study to a broad audienceYou are fluent in Polish and EnglishExperience with GPU programming and familiarity with Cython and Numba will be an additional advantageKnowledge of any of OpenBLAS, LAPACK, cuDSS, cuSparse, cuBLAS will be an additional advantageApply now
