Deep Learning Libraries Engineer

Rivos is developing optimized Deep Learning operators for its SIMT machine, aiming for optimal use of compute units. As a Deep Learning Libraries Engineer, you will contribute to the development and optimization of numerous operators crucial for both training and inference of Deep Neural Networks. This role offers the opportunity to influence hardware architectural decisions, leading to more performant and power-efficient solutions. You will engage in a vertical development approach, contributing to client software, compiler, runtime, and simulators to shape future solutions. Responsibilities include designing and implementing critical parts of DL operator libraries, developing kernels for PyTorch, contributing to performance analysis and ISA simulators, and collaborating with silicon design, architecture experts, and other teams.