Nvidia Senior Math Libraries Engineer - Sparse Linear Algebra 

United States, Texas 

7399093

What you will be doing:

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

These issues are by nature complex and will require you to find and explain solutions, exercise leadership, and coordinate with multiple teams to achieve your objectives.

What we need to see:

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

• 5+ 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, including functional and performance tests design.

• Deep understanding of numerical methods, especially, sparse linear algebra algorithms (e.g., multi-frontal factorization, algebraic multigrid (AMG), etc.)

• Proven experience in leading and completing software development projects.

• Excellent collaboration, communication, and documentation habits.

Ways to stand out from the crowd:

• Experience developing libraries consumed by many users.

• Experience developing distributed memory parallel computing software with MPI or a PGAS library (e.g., NVSHMEM).

• Good knowledge of compute and network hardware (e.g., Infiniband) architecture.

• Experience working in an agile software development environment.

• A scripting language, preferably Python.