Description
NVIDIA is hiring a Senior Deep Learning Computer Architect to help design hardware accelerator and processor architectures for machine learning and data analytics across mobile, embedded, and datacenter platforms. The role involves analyzing deep learning methods, proposing and evaluating performance-accelerating features, and collaborating with researchers, hardware architects, and software engineers. Candidates need a master's or PhD in a relevant field or equivalent experience, at least five years of relevant experience in computer architecture, GPU and system architecture, performance optimization, LLM workloads, deep learning kernels, C++ and Python, CUDA, and PyTorch, and the position is hybrid. The base salary range is 184,000 USD to 287,500 USD, with equity and benefits.
