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zoe1016aaa
V2EX  ›  酷工作

[英伟达 NVIDIA] [上海] [GPU 计算工程师--自动驾驶]

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  •   zoe1016aaa · Sep 20, 2022 · 1818 views
    This topic created in 1360 days ago, the information mentioned may be changed or developed.

    简历投递邮箱: [email protected] 备注 姓名+岗位

    岗位信息如下:

    [ What you’ll be doing:]

    1 、Analysis the cuDNN and TensorRT stability and performance issues from customer or internal team.

    2 、Work with internationally distributed team with remote locations in US, APAC and India for cuDNN and TensorRT developing.

    3 、Extract the feature requirement or FAQ from the analysis and development and generate the documents.

    [ What we need to see:]

    1 、Bachelor or equivalent experience of Computer Science or Electrical Engineering is required and Master Degree is preferred.

    2 、3-5+ years of related work.

    3 、Strong programming skills in C and C++ and/or python.

    4 、Have knowledge about the popular inference network and layers.

    5 、Experience working with deep learning frameworks like Caffe, TensorFlow or Torch.

    6 、Strong written and verbal communications in both English and Mandarin.

    7 、Ability to work well in a diverse team environment as well as with cross site peers.

    8 、Strong customer communication skills, powerfully motivated to provide highly responsive support as needed.

    [ Ways to stand out from the crowd:]

    1 、Candidates is very good at TensorFlow or Pytorch

    2 、Strong customer communication skills, powerfully motivated to provide highly responsive support as needed.

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