Senior Software Engineer, CUDA Core Libraries
Develop and optimize foundational CUDA Core Libraries in C++ and Python, focusing on high-performance parallel algorithms, API design, and developer experience. Work across the stack to enhance GPU-accelerated computing for deep learning, scientific computing, and data analytics, with direct impact on widely used libraries like Thrust, CUB, and cuda-python.