At Xilinx, we are leading the industry transformation to build an adaptable, intelligent world. ARE YOU bold, collaborative, and creative? We develop leaders and innovators who want to revolutionize the world of technology. We believe that by embracing diverse ideas, pushing boundaries, and working together as ONEXILINX, anything is possible.
Our culture of innovation began with the invention of the Field Programmable Gate Array (FPGA), and with the 2018 introduction of our Adaptive Compute Acceleration Platform (ACAP), has made a quantum leap in capability, solidifying our role as the adaptable platform supplier of choice. From the beginning, we have always believed in providing inventors with products and platforms that are infinitely adaptable. From self-driving cars, to world-record genome processing, to AI and big data, to the world's first 5G networks, we empower the world's builders and visionaries whose ideas solve every day problems and improve people's lives.
If you are PASSIONATE, ADAPTABLE, and INNOVATIVE, Xilinx is the right place for you! At Xilinx, we care deeply about creating significant development experiences while building a strong sense of belonging and connection. We champion an environment of empowered learning, wellness, community engagement, and recognition, so you can focus on work that matters - world class technology that improves the way we live and work. We are ONEXILINX.
--Research on key algorithms of machine learning and deep learning including various network architectures and applications.
--Adapt key algorithms to real-world applications, such as intelligent surveillance, ADAS/AD, natural language processing, and large-scale speech recognition.
--Algorithm optimization for a specific scenario.
--Stay up to date with the latest technology trends;
--Masters or above degree, majored in CS, EE, Mathematics, etc;
--At least 3 years’ experience in machine learning;
--Have good knowledge of machine learning/deep learning;
--With research, creativity, and ability to learn the cutting edge algorithms and theories through paper reading.
--Have strong coding skills in C/C++ and Python;
--Familiar with deep learning framework, TensorFlow/Caffe/Pytorch;