Accelerate the integration of APIs across the CUDA-X math library software stack into modern LLM and agentic AI workflows. Leading organizations globally use GPU-powered data centers for AI, data analytics, and scientific simulations, driving advancements in fields like LLMs, computer vision, CAE, EDA, and autonomous vehicles. The team develops GPU-accelerated libraries and SDKs essential for these technologies. In this role, you will ensure both human engineers using LLMs and AI agents can build high-performance applications with ease through effective utilization of CUDA-X libraries.
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