NVIDIA in Santa Clara is seeking software engineers to design and implement libraries and tools to accelerate computing for unstructured sparsity in DL and HPC. You will work across C++, Python, and CUDA, and contribute to DSL specifications and on-demand code generation for DL frameworks like PyTorch.
You will collaborate with product management and global teams to define features, optimize performance, and deliver production-ready code for scalable GPU-accelerated software.
#J-18808-LjbffrSenior GPU Sparse Math Libraries Engineer in santa clara at Unknown Company
This position is listed as full time and onsite.