NVIDIA’s team develops GPU-accelerated libraries and SDKs for dense linear algebra, enabling high-performance software across AI, analytics, and simulations. You will design, implement, and optimize kernel routines for triangular factorizations, eigenvalue/singular value decompositions, and related algorithms on GPUs.
We seek candidates with a PhD or MSc in computational science or related fields, 5+ years in high-performance numerical software using C++ and CUDA.
#J-18808-LjbffrSenior GPU Dense Linear Algebra Kernel Engineer (Equity) in wa at Unknown Company
This position is listed as full time and onsite.