Nvidia Senior Math Libraries Engineer – Emulation AI HPC 

United States, Texas 

270124257

What you will be doing:

• Scoping, designing, and implementing high quality and performance numerical dense linear algebra software on GPUs.

• Providing technical leadership and feedback to library engineers working with you on projects and sometimes mentor interns.

• Working closely with product management and other internal and external customers to understand feature and performance requirements and help define the technical roadmaps of libraries.

• Finding opportunities to improve library performance and reduce code maintenance overhead through re-architecting.

What we need to see:

• PhD or Master’s degree in Computer Science, Applied Math, or related science or engineering field of study (or equivalent experience).

• 5+ years of experience in designing, developing, testing, maintenance, and performance optimization of production software using CUDA and C++.

• Good knowledge of GPU (preferred) or CPU hardware architecture.

• Strong fundamentals in finite precision arithmetics and numerical methods for linear algebra.

• Great teamwork, communication, and documentation habits.

Ways to stand out from the crowd:

• Experience with CUTLASS, or low level programming like assembly for performance optimization is a huge plus.

• A scripting language, preferably Python.

• Experience with working in a globally-distributed team.