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NVIDIA is looking for an expert software engineer to help us deliver CUDA-X libraries across the NVIDIA CPU and GPU ecosystem. For over a decade, NVIDIA's accelerated computing platform has revolutionized HPC and AI with applications ranging from COVID-19 research to autonomous machines. Did you know that our team develops the GPU/CPU-accelerated mathematical libraries that make all of this possible? The hardware and software accelerated computing ecosystem is constantly evolving, including shifts towards hybrid backends, deep integration with high-level languages and ecosystems (such as Python, Numpy, JAX, MLIR), and optimization at runtime for maximum flexibility and performance. Our libraries follow CUDA Everywhere approach to let developers use highly-optimized mathematical operations on all hardware available in NVIDIA ecosystem.
NVIDIA is looking for an expert software engineer to help us deliver CUDA-X libraries across the NVIDIA CPU and GPU ecosystem. For over a decade, NVIDIA's accelerated computing platform has revolutionized HPC and AI with applications ranging from COVID-19 research to autonomous machines. Did you know that our team develops the GPU/CPU-accelerated mathematical libraries that make all of this possible? The hardware and software accelerated computing ecosystem is constantly evolving, including shifts towards hybrid backends, deep integration with high-level languages and ecosystems (such as Python, Numpy, JAX, MLIR), and optimization at runtime for maximum flexibility and performance. Our libraries follow CUDA Everywhere approach to let developers use highly-optimized mathematical operations on all hardware available in NVIDIA ecosystem.
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