Senior Software Engineer, CUDA Python Core Libraries

NVIDIA ’s accelerated computing platform is foundational to modern HPC and AI. At the center of this platform are CUDA Core Libraries that enable developers to build fast, reliable, and scalable GPU-accelerated software. We are hiring a Senior Software Engineer to advance the Python experience for CUDA Core Libraries. You will build Pythonic APIs, language bindings, algorithms, and runtime infrastructure on top of native C/C++ foundations. You will join the team building the foundational libraries, algorithms, and language/runtime infrastructure that make CUDA a speed-of-light experience for developers and AI coding agents alike. What you’ll be doing: Design and implement idiomatic Python APIs and bindings for foundational CUDA capabilities and GPU algorithms. Develop and integrate the native C/C++ components that support Python-facing functionality. Define reliable and efficient interoperability boundaries between Python, C/C++, Rust, and other languages. Develop high-performance interfaces that minimize Python and native-language integration overhead. Own features throughout their lifecycle: design, implementation, testing, profiling, benchmarking, documentation, release, and long-term maintenance. Improve the Python developer experience through typing, packaging, examples, diagnostics, continuous integration, and compatibility testing. Collaborate with C/C++, Rust, compiler, and runtime engineers on shared architecture and API decisions. Work directly with users to investi