Math Device Extension Libraries Intern - 2027

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We are looking for software engineering interns to help us expand our catalog of Device eXtension (Dx) APIs for our math libraries. For over a decade, NVIDIA 's accelerated computing platform has revolutionized HPC and AI with applications ranging from COVID-19 research to autonomous machines. Our team develops the GPU-accelerated mathematical libraries that make all of this possible. The hardware and software accelerated computing ecosystem is constantly evolving, including shifts towards hybrid backends, deep integration with high-level languages and ecosystems (such as Python, Numpy, JAX, MLIR…), and optimization at runtime for maximum flexibility and performance. Our Dx APIs allow developers to embed highly-optimized mathematical operations in their applications for these and other scenarios. You will be part of a team designing, developing, and optimizing math libraries for the future. Does the idea of being at the heart of these projects and applying your knowledge to develop and optimize algorithms which make an impact around world excite you? If yes, then come and join our team! During your internship, you will work with senior software engineers on the libraries team who will provide mentorship and guide you in developing highly optimized algorithms. Projects will involve implementing new numerical algorithms, defining APIs, analyzing performance, performance optimizations on the latest NVIDIA GPUs, improving libraries customer experience in employing agentic workfl

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