Senior Math Libraries Engineer, Iterative Solvers

We are looking for a software engineer for our Sparse Linear Algebra team which develops key technologies and libraries such as cuSOLVER, cuSPARSE, cuDSS, and AmgX, for high-performance computing and deep learning software stacks. These libraries provide accelerated linear algebra functions, such as: matrix products, direct and iterative solvers; and are consumed by industrial and research organizations with applications ranging from gaming and Machine Learning to autonomous driving and chip modeling. Does the idea of being at the heart of these projects and applying your knowledge to develop and optimize algorithms which make an impact around the world excite you? If yes, then come and join our team!

What you will be doing:

• developing scalable HPC math library software for various numerical methods including but not limited to sparse linear algebra

• performance tuning, optimization, and benchmarking of algorithms such as Gauss-Seidel ...