Senior Math Libraries Engineer - Sparse Linear Algebra

NVIDIA is seeking a Senior Math Libraries Engineer to join their Sparse Linear Algebra team, focusing on developing crucial technologies like cuDSS, cuSPARSE, and cuSPARSELt. This role combines advanced mathematics with high-performance computing, targeting platforms from edge computing to supercomputers. The position involves creating accelerated linear algebra functions used in various applications from gaming and Machine Learning to autonomous driving and chip modeling.

The role requires deep expertise in both software engineering and mathematical concepts, particularly in sparse linear algebra. You'll be working on developing and optimizing scalable high-performance numerical software, providing technical leadership, and collaborating with product management to shape the future of NVIDIA's math libraries.

As a senior engineer, you'll be responsible for complex technical challenges that require innovative solutions and leadership skills. The position offers the opportunity to work with cutting-edge technology at a company that pioneered GPU computing and is now leading in AI computing. You'll be part of a team that directly impacts scientific computing and deep learning software stacks used worldwide.

The ideal candidate should have extensive experience in high-performance computing, particularly with GPU acceleration using CUDA, and a strong foundation in numerical methods. The role offers competitive compensation, including a base salary range of $184,000 - $356,500 USD, plus equity and benefits. This hybrid position is based in Santa Clara, CA, allowing for both on-site collaboration and remote work flexibility.