Senior Math Libraries Engineer - Sparse Linear Algebra

NVIDIA, the pioneering force behind GPU technology and AI computing, is seeking a Senior Math Libraries Engineer to join their Sparse Linear Algebra team. This role is central to developing crucial technologies like cuDSS, cuSPARSE, and cuSPARSELt, which power scientific computing and deep learning software stacks across various processors. The position offers an opportunity to work on high-performance libraries that impact industries from gaming and Machine Learning to autonomous driving and chip modeling.

The role combines deep technical expertise in sparse linear algebra with leadership responsibilities, requiring both advanced mathematical knowledge and software engineering skills. You'll be working with cutting-edge technology, developing and optimizing scalable high-performance numerical software that powers some of the most demanding computational tasks in modern computing.

As a senior engineer, you'll lead technical initiatives, collaborate with product management, and drive architectural improvements that enhance library performance. The position offers competitive compensation ($224,000 - $425,500 USD) and includes equity benefits. This is an excellent opportunity for someone passionate about high-performance computing who wants to make a significant impact in the field of scientific computing and AI.

The hybrid work environment at NVIDIA's Santa Clara location provides flexibility while maintaining collaborative opportunities with world-class engineers. The company's commitment to innovation and its position at the forefront of AI and accelerated computing makes this an exciting opportunity for experienced engineers looking to push the boundaries of what's possible in computational technology.