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NVIDIA is building GPU acceleration for the analytical data processing ecosystem: the query engines, data platforms, and processing frameworks that the world runs its analytics on. Making that real means embedding an acceleration layer inside engines we do
As part of NVIDIA’s Analytics and Data Intelligence (ADI) group, this team develops “libcudf”—the open-source CUDA C++ library that accelerates database and DataFrame operations. With flexible I/O, blazing-fast merging, aggregating, and filtering, our library serves diverse domains,
We are looking for a strong engineer to join the DRIVE Road Structure / Online Mapping / Context Fusion team. In this role, you will help craft and guide the future of our L3/L4 autonomous-driving solution