Senior Software Engineer, CUDA Core Libraries
Develop and optimize foundational CUDA Core Libraries in C++ and Python, focusing on high-performance parallel algorithms and developer-facing APIs. Work across the full development lifecycle, from design and implementation to testing and maintenance, while collaborating with senior engineers and engaging directly with users. Contribute to key open-source projects like Thrust, CUB, libcudacxx, and numba-cuda, shaping the core of GPU computing for AI and HPC workloads.