is looking for software engineering interns for its GPU-accelerated high-performance computing (HPC) mathematical libraries team.
Did you know these GPU accelerated mathematical libraries developed by NVIDIA are being used in a wide range of applications in scientific computing, engineering, and deep learning?
Around the world, leading commercial and academic organizations are revolutionizing AI, scientific and engineering simulations, and data analytics, using data centers powered by GPUs.
Applications include : healthcare, VR, deep learning, autonomous vehicles and countless others. If the idea of contributing to such state of the art research and development excites you, come join our dynamic team and help us build GPU accelerated software libraries which will be used by the entire world.
During your internship, you will working with senior software engineers in the libraries team who will provide mentorship and guide you in developing highly optimized algorithms and numerical methods.
Projects will involve implementing new numerical algorithms, defining APIs, analyzing performance, finding appropriate solutions for difficult numerical corner cases, and other general software engineering work.
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