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What you’ll be doing:
Analyze the GPU computing issues and write some test code for them.
Write some documentation about the analysis of the issue.
What we need to see:
Pursuing BS or higher degree in CS/EE/CE or equivalent.
Good programming experience on Linux OS.
Good programming skills in C and C++, python is a plus.
Good knowledge about Linux Shell and Makefile.
Have knowledge about the popular inference network and DL layers.
Experience with deep learning frameworks like Caffe, TensorFlow or Torch.
Good at read and written in English.
Ways to stand out from the crowd:
Familiarity with NVIDIA GPU hardware products (Tesla, Jetson, DGX, etc).
Working knowledge of NVIDIA GPU Computing (CUDA) and CUDA-X libraries for Deep Learning, especially CUDA.
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