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Research Intern

Saggart, Ireland, Ireland
Aug 29, 2019


Job Description


Xilinx develops highly flexible and adaptive processing platforms that enable rapid innovation across a variety of technologies - from the endpoint to the edge to the cloud. Xilinx is the inventor of the FPGA, hardware programmable SoCs and the ACAP (Adaptive Compute Acceleration Platform), designed to deliver the most dynamic processor technology in the industry and enable the adaptable, intelligent and connected world of the future in a multitude of markets including Data Center (Compute, Storage and Networking); Wireless/5G and Wired Communications; Automotive/ADAS; Emulation & Prototyping; Aerospace & Defense; Industrial Scientific & Medical, and others. Xilinx's core strengths simultaneously address major industry trends including the explosion of data, heterogeneous computing after Moore's Law, and the dawn of artificial intelligence (AI).

Our global team is growing and we are looking for bold, collaborative and creative people to help us lead the industry transformation to build an adaptable intelligent world. We believe that by embracing diverse ideas, striving for excellence in all that we do, and working together as a unified team, we can accomplish anything. Come do your best work and live your best life as part of the ONEXILINX team! 






Degree in Computer Science, Electrical Engineering or related field

·         Experience and understanding of one of the following fields:

o   Machine Learning.
Comfortable with design & training of neural networks with one or more of the common frameworks

o   High Performance Computing

o   Signal processing, or image processing

o   Architectures for dedicated high-speed applications

·         Some exposure to concurrent programming and demonstrated programming skills

·         Basic understanding of computer architectures and run-time systems

·         Strong communication skills, verbal and written

·         Strong analytical skills

·         Flexibility, interest in technology, eagerness to learn, with a good attitude towards work


Refer to the Talent Network

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