
Senior Software Engineer, CUDA Deep Learning Systems
Work on research-oriented projects that bridge deep learning frameworks and low-level CUDA to optimize performance from single GPUs to cluster-scale supercomputers. Responsibilities include designing and optimizing custom CUDA kernels, architecting distributed compute systems, profiling hardware-software interactions, and collaborating with researchers and compiler/driver teams. Requires 8+ years experience and strong background in deep learning (transformers), systems programming, and GPU performance optimization.











