Senior Math Libraries Engineer - Sparse Linear Algebra

Job Description

Join our Sparse Linear Algebra team to develop key technologies and libraries for scientific computing and deep learning software stacks targeting a range of processors from edge computing to supercomputers.

Requirements

• PhD or MSc’s degree in Computational Science, Computer Science, Applied Math, or related science or engineering field of study
• 10+ years experience developing, debugging, and optimizing high-performance parallel numerical sparse linear algebra applications on modern computing platforms, preferably with GPU acceleration using CUDA
• Excellent C++ programming and software design skills
• Deep understanding of numerical methods, especially, sparse linear algebra algorithms
• Proven experience in leading and completing software development projects
• Excellent collaboration, communication, and documentation habits

Responsibilities

• Developing and optimizing scalable high-performance numerical sparse linear algebra software such as direct and iterative sparse solvers
• Providing technical leadership and guidance to library engineers working on projects
• Working closely with product management and other internal and external partners to understand feature and performance requirements
• Contributing to the technical roadmaps of libraries
• Finding opportunities to improve library performance and reduce code maintenance overhead through re-architecting

Benefits

• Multiple relocation packages
• Two weeklong shutdowns (mid-summer and year-end) in the US (in addition to PTO)
• 8-week parental leave
• 9 Employee Resource Groups
• Annual bonus offering
• Flexible work arrangements
• Up to 6% 401K matching