Kihiro Bando
Deep Learning Library Performance Software Engineer @NVIDIA
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WORK HISTORY
Deep Learning Library Performance Software Engineer @NVIDIA
Santa Clara, CA, US
Fast Kernels team, working on the CUTLASS project‣ designed and implemented critical components of the IR stack as one of the initial and core maintainers‣ led the development and first release of the Python CuTe DSL for the 4.0 major release of CUTLASS
EDUCATION
Conservatoire à Rayonnement Régional, Paris
Violin, chamber music, orchestra, music theory
Lycée Hoche, Versailles
Mathematics, Physics, Computer science
Stanford University
Master of Science - MS, Department of Aeronautics and Astronautics
Stanford University
Doctor of Philosophy - PhD, Department of Aeronautics and Astronautics
École Polytechnique
Engineering degree (Master of Science equivalent)
SKILLS
ABOUT KIHIRO BANDO
Resume available at https://drive.google.com/file/d/14SCFfqFiUMjlbxOhUkztuTP0XIh0dIoL/view?usp=sharingI am a motivated researcher with 5+ years of experience in the following fields: computational physics, numerical methods, code design and development, and high-performance computing, including distributed programming and hardware acceleration. I am interested in working within a team of skilled researchers to solve real-world challenging problems involving a combination of applied mathematics, physics, and computer science.
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