Sparsity in AI: GPU-Accelerated Math Libraries Engineer

NVIDIA Gruppe is seeking experienced software engineers in Santa Clara, California, to design and develop systems that simplify computing for unstructured sparsity in deep learning and high-performance computing. The role involves working with C++ and collaborating with product management to understand requirements while contributing to the design of GPU-accelerated libraries.

Ideal candidates have 6+ years of experience with high-performance software, strong skills in C++, Python, and CUDA, and are familiar with sparse computations. The position offers a competitive salary based on experience and eligibility for equity and benefits.