Senior Math Libraries Engineer - Sparse Linear Algebra
NVIDIA(1 month ago)
About this role
A Software Engineer role focused on developing sparse linear algebra kernels for GPU-accelerated high-performance libraries (e.g., cuSPARSE, cuDSS) that enable AI, data analytics, and scientific and engineering simulations. The position contributes to the development of GPU libraries and SDKs used across domains such as CAE, EDA, quantum chemistry, autonomous vehicles, and large language models. The team works on advancing performance and capability of numerical libraries for current and future GPU architectures.
Required Skills
- C++
- CUDA
- MPI
- OpenMP
- OpenACC
- Pthreads
- Sparse Linear Algebra
- Performance Optimization
- Parallel Programming
- Debugging
+5 more
Qualifications
- PhD
- MSc
About NVIDIA
nvidia.comNVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.
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