Nvidia Deeplearning 全职 + 实习
44749
帮朋友转发一个找人信息，Nividia招深度学习方向的全职工作，有意向的同学直接把简历发给Recruiter就好了
之前发了一个实习，但不知为什么不能更改原帖了，从新发一遍，这个职位全职和实习都招
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最近被邀请面试，才发现我老板要招人，职位是new college graduate。这个职位是deep learning应用在video streaming，所以如果你用过deep learning的框架（比如tensorflow, caffe, pytorch等）或做过image/video processing，就应该试试。 请联系recruiter Jessica Verly, 1point3acres.com , 职位号码：JR1905411
[align="left"]We are now looking for a Deep Learning - Video/Image Processing Intern"[/align]
[align="left"]Intelligent machines powered by AI computers that can learn, reason and interact with people are no longer science fiction. Today, a self-driving car powered by artificial intelligence can meander through a country road at night and find its way. An AI-powered robot can learn motor skills through trial and error. This is truly an extraordinary time. The era of AI has begun. Image recognition and speech recognition — GPU deep learning has provided the foundation for machines to learn, perceive, reason and solve problems. The GPU started out as the engine for simulating human imagination, conjuring up the amazing virtual worlds of video games and Hollywood films. Now, Nvidia’s GPU runs deep learning algorithms, simulating human intelligence, and acts as the brain of computers, robots and self-driving cars that can perceive and understand the world. Just as human imagination and intelligence are linked, computer graphics and artificial intelligence come together in our architecture. Two modes of the human brain, two modes of the GPU. This may explain why Nvidia GPUs are used broadly for deep learning, and Nvidia is increasingly known as “the AI computing company.” Come, join our DL Architecture team, where you can help build the real-time, cost-effective computing platform driving our success in this exciting and quickly growing field.[/align]
[align="left"]What you’ll be doing:[/align]
[align="left"]What we need to see:[/align]
[align="left"]Ways to stand out from the crowd:[/align]
之前发了一个实习，但不知为什么不能更改原帖了，从新发一遍，这个职位全职和实习都招
--- ---
最近被邀请面试，才发现我老板要招人，职位是new college graduate。这个职位是deep learning应用在video streaming，所以如果你用过deep learning的框架（比如tensorflow, caffe, pytorch等）或做过image/video processing，就应该试试。 请联系recruiter Jessica Verly, 1point3acres.com , 职位号码：JR1905411
[align="left"]We are now looking for a Deep Learning - Video/Image Processing Intern"[/align]
[align="left"]Intelligent machines powered by AI computers that can learn, reason and interact with people are no longer science fiction. Today, a self-driving car powered by artificial intelligence can meander through a country road at night and find its way. An AI-powered robot can learn motor skills through trial and error. This is truly an extraordinary time. The era of AI has begun. Image recognition and speech recognition — GPU deep learning has provided the foundation for machines to learn, perceive, reason and solve problems. The GPU started out as the engine for simulating human imagination, conjuring up the amazing virtual worlds of video games and Hollywood films. Now, Nvidia’s GPU runs deep learning algorithms, simulating human intelligence, and acts as the brain of computers, robots and self-driving cars that can perceive and understand the world. Just as human imagination and intelligence are linked, computer graphics and artificial intelligence come together in our architecture. Two modes of the human brain, two modes of the GPU. This may explain why Nvidia GPUs are used broadly for deep learning, and Nvidia is increasingly known as “the AI computing company.” Come, join our DL Architecture team, where you can help build the real-time, cost-effective computing platform driving our success in this exciting and quickly growing field.[/align]
[align="left"]What you’ll be doing:[/align]
- You will research and apply Deep Learning/AI techniques as well as traditional methods to solve some of the latest Video and Image Processing challenges related to quality, performance, and cost, specifically in the areas of Low Latency Game Streaming, Cloud based High Density Transcoding, 360 Stereo Stitching and Encoding.
- You will collaborate with world class teams to read and implement papers, adapt to use cases, build tools, datasets, analyze end to end sy1point3acres.com constraints and performance.
[align="left"]What we need to see:[/align]
- You are pursuing MS in Computer Science or equivalent
- You have exposure to the latest Deep Learning Techniques (CNN, RNN, GANs, etc..)
- Knowledge with one or more Deep Learning Framework (TensorFlow, Theano, CAFFE, Keras, etc..)
- You should have expertise in C/C++, Python
- You should be self driven and a great teammate
[align="left"]Ways to stand out from the crowd:[/align]
- Hands on experience in the field of Video/Image processing, and Computer Vision
- Implementation on related techniques on Github
- Knowledge of Video Codecs such as HEVC, H.264, etc..
- Knowledge of CUDA
- Exposure to Windows Driver Model or Linux Kernel programming
- 6
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