Partner with application, library, framework, operating-system, driver, runtime, firmware, GPU architecture, silicon, product, and customer-facing teams; communicate findings clearly and raise engineering quality through design and code reviews. CUDA is a critical layer where that transformation happens, sitting beneath the frameworks, libraries, and applications used across AI, deep learning, and HPC, as well as graphics, automotive, robotics, and other CUDA-powered products.