NVIDIA seeks an experienced software professional to design and develop accelerated Python numerical libraries, enabling GPU-accelerated, distributed computing for AI, HPC and data science. You’ll work on NumPy/SciPy ecosystems and contribute to CuPy, Jax.NumPy, NumS, cuNumeric with strong C++/CUDA skills.
Join a team shaping scalable Python APIs, performance analysis, and runtime systems for multi-GPU workloads running from supercomputers to the cloud.
#J-18808-LjbffrDistributed GPU Python/CUDA Engineer (Equity) in santa clara at Unknown Company
This position is listed as full time and onsite.