Deep learning algorithm – model compression
XilinxBeijingUpdate time: May 20,2019
Job Description
Description
Xilinx develops highly flexible and adaptive processing platforms that enable rapid innovation across a variety of technologies - from the endpoint to the edge to the cloud. Xilinx is the inventor of the FPGA, hardware programmable SoCs and the ACAP (Adaptive Compute Acceleration Platform), designed to deliver the most dynamic processor technology in the industry and enable the adaptable, intelligent and connected world of the future in a multitude of markets including Data Center (Compute, Storage and Networking); Wireless/5G and Wired Communications; Automotive/ADAS; Emulation & Prototyping; Aerospace & Defense; Industrial Scientific & Medical, and others. Xilinx's core strengths simultaneously address major industry trends including the explosion of data, heterogeneous computing after Moore's Law, and the dawn of artificial intelligence (AI).Our global team is growing and we are looking for bold, collaborative and creative people to help us lead the industry transformation to build an adaptable intelligent world. We believe that by embracing diverse ideas, striving for excellence in all that we do, and working together as a unified team, we can accomplish anything. Come do your best work and live your best life as part of the ONEXILINX team!
Deep learning algorithm – model compression
Job Responsibilities:
Research and develop algorithms of CNN/RNN, focusing on computer vision and speech recognition tasks;
Research and develop CNN/RNN neural network compression algorithms, focusing on quantization and pruning;
Analyze, test and improve neural network compression algorithms;
Job Requirements:
BS or above degrees in computer science or related majors;
Experience with at least one deep learning algorithm, such as CNN/LSTM/GRU;
Experience with at least one deep learning framework, such as Tensorflow, Pytorch, Caffe, Kaldi;
Experience with C++ or Python programming under Linux;
With research, creativity, and ability to learn the cutting-edge algorithms and theories through paper reading.
Candidates with relevant projects are preferred, such as computer vison, speech recognition, etc.
Request to ensure attendance at least three days a week.
Job Requirements:
BS or above degrees in computer science or related majors;
Experience with at least one deep learning algorithm, such as CNN/LSTM/GRU;
Experience with at least one deep learning framework, such as Tensorflow, Pytorch, Caffe, Kaldi;
Experience with C++ or Python programming under Linux;
With research, creativity, and ability to learn the cutting-edge algorithms and theories through paper reading.
Candidates with relevant projects are preferred, such as computer vison, speech recognition, etc.
Request to ensure attendance at least three days a week.
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