Applied Deep Learning Research Scientist with a focus on Sparsity

This applied research position focuses on developing sparsity-related techniques for neural networks and hardware accelerators, combining them with reduced precision to enhance performance. The role involves investigating methods to enable sparsity while maintaining result quality and proposing hardware features to improve DL acceleration efficiency. Candidates will collaborate with internal and external researchers to transfer promising techniques to software and hardware products.