Senior Math Libraries Engineer - Dense Linear Algebra
NVIDIA· Engineer, Sys SW
Hybrid (Remote / Local)$184k - $356.5kfull-timePosted 7mo ago
About the role
Senior role designing, developing, and optimizing GPU-accelerated dense linear algebra kernels and libraries (e.g., cuSOLVER) with technical leadership across teams.
Responsibilities
- 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 closely with product management and other internal and external partners to understand feature and performance requirements and contribute to technical roadmaps
- Finding and realizing opportunities to improve library quality, performance and maintainability through re-architecting and establishing innovative software development practices
Qualifications
- 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
Skills
Required:CUDAC++Parallel programmingNumerical linear algebra
Nice to have:Software architecture
Benefits
- equity
- benefits (see NVIDIA benefits)
Last updated Aug 7, 2026. Interested? Apply on the company site.
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