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Senior Math Libraries Engineer – Sparse Linear Algebra
| Company | NVIDIA |
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| Location | Santa Clara, CA, USA |
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| Salary | $184000 – $356500 |
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| Type | Full-Time |
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| Degrees | Master’s, PhD |
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| Experience Level | Senior |
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Requirements
- 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.
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 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.
Preferred Qualifications
- 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.
