NVIDIA Corporation is seeking software engineers to design, implement, and optimize high-performance sparse linear algebra kernels for cuSPARSE and cuDSS. You’ll work on GPU-accelerated libraries, collaborating with product management and engineers to meet feature and performance goals across CUDA-enabled architectures.
Ideal candidates have 5+ years in HPC, strong C++ and parallel programming skills, and a solid background in sparse linear algebra primitives.
#J-18808-LjbffrGPU-Accelerated Sparse Linear Algebra Engineer in santa clara at Unknown Company
This position is listed as full time and onsite.