【NVIDIA】Compute Performance Intern のご案内 

Shoko Kanaya By: Shoko Kanaya | Posted: 2021/08/04



Japan, Tokyo


Full time

What you will be doing

・You will research and develop techniques to GPU-accelerate leading applications in high performance computing fields within scientific computing, computational engineering, data science, or artificial intelligence.

・You will ensure the best possible performance on current and next-generation GPU architectures, and drive their adoption with developers.

What we need to see

・Pursuing a BS, MS, or PhD degree in an engineering or computer science related discipline. While not a requirement, specialization in telecommunications, medical imaging, machine learning, deep learning, or natural sciences is helpful.

・Programming fluency in C/C++ and/or Fortran with a deep understanding of software design, programming techniques, and algorithms.

・Strong mathematical fundamentals, including linear algebra and numerical methods.

・Experience with parallel programming, ideally CUDA C/C++ and OpenACC.

・Strong communication and organization skills, with a logical approach to problem solving, good time management, and task prioritization skills.




© アルファ・アドバイザーズ

利用規約   特定商取引法に基づく表示