Neural Network Processing Firmware Engineer

Location: Markham, Ontario
Posted On: 6/8/2017
Job Code: NNPFE_6966_ON
Category:IT code:new HBR
Job Description
Position exists for a highly motivated individual with the ability to learn quickly and work independently within a multidisciplinary, dynamic, and fast paced organization building next generation mobile devices. Develop, verify, and commercialize firmware for neural network processing technology on cutting edge processors and proprietary hardware for advanced machine learning use cases. - Design and implement real-time, embedded neural network processing software and firmware executing on ARM based processors. - Design and implement embedded software for buffer management, interrupt handling, multi-processor communications, and embedded hardware device drivers - Develop scripts and utilities in Python, Bash, PERL, C #, and other scripting languages. - Design, execute, and debug, software and firmware on new hardware simulation, and emulation, target platforms. - Design and develop automated test infrastructure
Minimum Qualifications:- Experience developing commercial firmware and hardware in areas such as neural network processing, machine learning, real-time hardware drivers, and system level software and services - proficient in C/C++ programming language with strong embedded programming experience on multiprocessor platforms, including size, cycle, and performance optimizations - Assembly programming experience is an asset - Ability to develop and debug embedded software and firmware spanning multiple processor cores and subsystems in real-time multitasking, multithreaded environments, including reading schematics, debugging hardware, and proficiency with JTAG and other lab and test equipment.
Preferred Qualifications:- experience working within a dynamic team environment requiring extensive interactions with cross site peers and teams. - 3+ years of development experience preferred - Experience with different operating systems, data structures, computer architectures, hardware simulation/emulation (FPGA) environments, and machine learning and neural network frameworks (Caffe, Tensor Flow), is an asset.
Education:Required: Bachelor's, Electrical Engineering Preferred: Master's, Electrical Engineering
Comments:Senior level role = 4 to 8 years work experience.
Category:IT  code:new
Job Requirements
Architecture,Device drivers,Engineering,FPGA,Management,Perl,Python

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Contact Details
Sushil Yadav
E-mail Address