I am responsible for developing the core validation and RTL infrastructure for developing the world's leading GPUs, defining and deploying ML/AI technologies to improve infrastructure efficiency and support, improving the speed, flexibility, and scalability of the GPU front-end build process, and keeping the GPU Continuous Integration System at the forefront of industry technology. Direct compute farm, file manager, and network topology requirements, deploy new compute farm technologies such as containers, volume cloning, distributed storage, and distributed computing at scale, and deploy tracking metrics to address operational issues, drive predictions, and improve design productivity. Deploy an information security approach to hardware design, eliminating any possible inefficiencies!