[NVIDIA 英伟达] [上海或者北京] [GPU 计算工程师-自动驾驶方向]

简历投递邮箱： [email protected] 备注 姓名+岗位

办公地点：可以 base 北京或者上海，北京的话在朝阳区，上海的话，在浦东新区

面试流程：一般会有 3-4 轮面试，进展快的话，一般最快 2 周内结束。都是线上面试，会有 coding 。

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.