Cerebras is seeking a Kernel Engineer to design, optimize, and scale deep learning kernels for its massively parallel WSE architecture. You will contribute to a library of parallel algorithms and collaborate with hardware teams to maximize compute utilization and training efficiency.
The role focuses on developing low-level kernels, optimizing assembly and a custom CSL language, and applying performance modeling to guide design decisions.
#J-18808-LjbffrRemote Kernel Engineer for AI Hardware & ML Kernels in workfromhome at Unknown Company
This position is listed as full time and onsite.