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Principal Engineer at Fortemedia
Santa Clara, CA, US

Research and design the state-of-the-art deep neural nets (DNN) architecture for speech signal processing application; Build the artificial intelligent (AI) team to work on next generation products both in mobile devices and internet of things (IOT), including smart small array microphone (SAM), smart speaker; Co-work with hardware team to develop a novel low-power and low computational complexity deep neural net (DNN) algorithms specialized in fixed-point implementation for the mobile device application; Evaluate on the state-of-the-art digital signal processors (DSP) and optimize the DNN algorithms to fully utilize the functionality of DSP; Responsible for artificial intelligent (AI) component of the company’s next generation IC to make it tape-out and successfully go to the market; Research and design on the fundamental speech signal processing algorithms to further improve the current company’s software. Skills in deep neural nets (DNN), recurrent neural nets (RNN), long short-term memory (LSTM), gate recurrent unit (GRU), statistical modeling of the characteristics of speech signal are required.

Requirements Master’s degree in Electrical Engineering, Computer Engineering, Communication Engineering, and two years’ experience in the job required.