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Heterogeneous Computing Runtime Engineer

155751
San Jose, CA, United States
Aug 14, 2018

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Job Description

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!


We are looking for motivated engineers with deep system level knowledge to design and develop efficient and scalable runtime for FPGA devices which will help accelerate compute, video, storage, networking and machine learning workloads.

Required Skills

    BS in CS/CE/EE with 7 years or MS with 5 years
    Linux kernel driver design and development experience
    Proficiency in C/C++ and object oriented design
    Good understanding of GPGPU acceleration framework
    Understanding of virtualization frameworks
    Excellent written and verbal communication skills


Desired Skills

    Experience with OpenCL/CUDA
    Understanding of Linux kernel VM and FileSystem
    Experience with VirtIO and SR-IOV
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