Satish Salian is a principal systems software engineer at NVIDIA building end-to-end technologies and solutions for developers harnessing the power of NVIDIA GPUs. His current focus is on Neural Architecture Search (NAS) methodologies, searching for high-performance neural architectures for NVIDIA GPUs. In the recent past, Satish was involved with MLPerf-Training benchmarks, AR/VR research projects, and building the NVIDIA DGX-1 system software stack. His prior projects also include building CUDA developer tools, GFE UI control panel, NVAPIs and creating NVIDIA documentation. He has a bachelor's degree in computer engineering from the University of Pune, India.