DescriptionXilinx 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).
--Research on key algorithms of deep learning (including various network architectures and applications), and computer vision tasks (including classification, object detection, and semantic segmentation).
--Adapt key algorithms to real word applications, such as intelligent surveillance, ADAS/AD and large-scale speech recognition.
--Algorithm optimization for specific scenario.
--Write algorithm analysis and optimization report.
--Computer vision or machine learning related majors.
--Experience with at least one deep learning algorithm, for example CNN, LSTM, etc.
--Experience with at least one deep learning framework, for example Caffe, Tensorflow, Pytorch, etc.
--Knowledge of C++ or python.
--Candidates with relevant projects are preferred, such as object detection, object tracking, etc.
--With research, creativity, and ability to learn the cutting edge algorithms and theories through paper reading.
--Request to ensure attendance at least three days a week.