Senior Software Engineer, CUDA Core Libraries
Develop and optimize core CUDA libraries in C++ and Python, focusing on high-performance GPU algorithms, parallel computing, and language bindings. Work on foundational infrastructure used in deep learning, scientific computing, and data analytics, with end-to-end ownership of features including testing, benchmarking, and maintenance. Collaborate in open-source-style workflows and engage directly with developers to improve the CUDA platform.