Nvidia Senior Math Libraries Engineer - Dense Linear Algebra 

United States, Texas 

959049151

What you will be doing:

• Designing, implementing and optimizing scalable high-performance numerical dense linear algebra software on GPUs

• Providing technical leadership and guidance to library engineers, QA engineers, and interns working with you on projects

• Working closely with product management and other internal and external partners to understand feature and performance requirements and contribute to the technical roadmaps of libraries

• Finding and realizing opportunities to improve library quality, performance and maintainability through re-architecting and establishing innovative software development practices

What we need to see:

• PhD or MSc degree in Computational Science and Engineering, Computer Science, Applied Mathematics, or related science or engineering field (or equivalent experience)

• 5+ years of overall experience in developing, debugging and optimizing high-performance numerical linear algebra software using C++ and parallel programming; ideally using CUDA, MPI, OpenMP, OpenACC, pthreads

• Strong fundamentals in numerical methods such as computational linear algebra, linear system solvers, and methods for eigenvalue, singular value, and other decompositions

• Experience developing dense linear algebra libraries such as BLAS, LAPACK; and their parallel counterparts like PBLAS and SCALAPACK

• Strong collaboration, communication, and documentation habits

Ways to stand out from the crowd:

• Good knowledge of CPU and/or GPU hardware architecture

• Experience with adopting and advancing, software development practices such as CI/CD systems and project management tools such as JIRA.

• Experience with working in a globally distributed organization

• Strong background of large-scale computing technologies such as PDE solvers, eigenvalue solvers and time-domain simulation methods (e.g., CFD, FEA)