Position: DSP Engineer – Wireless/Machine Learning
Location: San Jose CA US
High Performance Computing
Industrial / Scientific / Medical (ISM)
DSP Engineer – Machine Learning and Signal Processing Technologies
Xilinx is seeking a hardware and silicon architecture engineer to contribute to the development of future generation high-performance signal processing technologies for machine learning and cellular wireless 4G and 5G wireless.
While the successful candidate might not necessarily have expert level skills in both machine learning and wireless physical layer signal processing, they would be well skilled in one of these domains and be flexible enough to learn and contribute to both application domains. In the Machine Learning domain, experience with machine learning algorithms, deep convolutional networks (DCNN) and the software or hardware (ASIC) realization of these algorithms is highly valuable for this position. In the wireless domain we are looking for experience with 4G, or other OFDM, physical layer signal processing algorithms and implementation experience with at least one of the following technologies: software, FPGA or ASIC.
Skills – the candidate would have skills in several, but not necessarily all, of the following
Experience with Caffe, Theano or other similar frameworks
Experience with machine learning algorithms, deep convolutional neural networks (DCCN)
Implementation of DCCN in software and/or hardware (ASIC)
C/C++, Matlab, scripting language, Verilog or VHDL would be beneficial, but not a hard requirement
Implementation of complex signal processing on at least one of the following platforms: FPGAs, ASIC, ASSP, GPP, GPU, DSP
Good written and verbal communication skills
What we need to see
Strong background in computer architecture, VLSI, parallel processing and/or high performance computing
Experience with C, C++ and scripting languages
PhD or MSEE Preferred with 3-5 years of experience.
Nov 7, 2016, 6:31:04 PM
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