Applied Deep Learning Research Scientist, Sparsity

We are now looking for an Applied Deep Learning Research Scientist with a focus on Sparsity:

We are seeking DL researchers and/or computer architects to help future accelerators and neural networks take advantage of sparsity. This is an applied research position, with the goal of developing sparsity-related techniques (in isolation and combined with reduced precision) and transferring the most promising to SW and HW products. Work entails investigations, publication, and collaboration with researchers and practitioners (internal and external to NVIDIA).

What you'll be doing:

• Researching methods (adjusting model architectures, training procedures, etc.) to enable sparsity in neural networks while maintaining the quality of the results.

• Proposing hardware features to enable sparsity, studying their impact on DL acceleration and efficiency.

What we need to see:

• MS or PhD deg...