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 deep learning such as CNN, LSTM etc. (including various network architectures and applications),
--Adapt key algorithms to real world applications, such as speech recognition, ADAS/AD & Audio-Video Broadcasting.
--Algorithm optimization for Edge Deployment.
--Write algorithm analysis and optimization report.
-- Coding/supporting in HLS Implementation of Optimized algorithms.
-- ML algorithm deployment on FPGA and Debugging.
-- Candidate should be enrolled in machine learning related majors in any of doctorate/masters/bachelors course
--Experience with at least one deep learning algorithm, for example CNN, LSTM, etc.
--Experience with at least one deep learning framework, for example Tensorflow, Pytorch, Caffe etc.
--Knowledge of C++ and python.
--Candidates with relevant projects are preferred, such as Automatic Speech Recognition, object detection, object tracking, etc.
--With research, creativity, and ability to learn the cutting-edge algorithms and theories through paper reading.
Education Requirements : B.Tech/M.Tech
Years of Experience : 0