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Staff Machine Learning Engineer

156901
San Jose, CA, United States
Sep 10, 2019

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Job Description

Description

At Xilinx, we are leading the industry transformation to build an adaptable, intelligent world. ARE YOU bold, collaborative, and creative? At Xilinx, we hire and develop leaders and innovators who want to revolutionize the world of technology.  We believe that by embracing diverse ideas, pushing boundaries, and working together as ONEXILINX, anything is possible.


Our culture of innovation began with the invention of the Field Programmable Gate Array (FPGA), and with the 2018 introduction of our Adaptive Compute Acceleration Platform (ACAP), has made a quantum leap in capability, solidifying our role as the adaptable platform supplier of choice.  From the start, we have always believed in providing inventors with products and platforms that are infinitely adaptable. From self-driving cars, to world-record genome processing, to AI and big data, to the world’s first 5G networks, we empower the world’s builders and visionaries whose ideas solve every day problems and enhance people’s lives.

If you are PASSIONATE, ADAPTABLE, and INNOVATIVE, Xilinx is the right place for you!  At Xilinx we care deeply about creating meaningful development experiences while building a strong sense of belonging and connection. We foster an environment of empowered learning, wellness, community engagement, and recognition, so you can focus on work that matters – world class technology that improves the way we live and work.  We are ONEXILINX.


In 2018 Xilinx announced a new class of computing technology called ‘Versal’. One of the innovations in this device is the integration of a multi-core array of VLIW processors.


Xilinx is seeking an engineer to join our R&D team developing machine learning technology for the Versal platform. The position will have a focus on the tool chain that enables programming the Versal platform from machine learning frameworks such as TensorFlow.

Experience with Tensorflow and other machine learning frameworks, expert level python programming and C/C++ experience is a requirement.

A strong knowledge of machine learning network architecture and capability to analyze compute complexity of these networks is important for the position.


 

 Skills – the candidate would have skills in several, but not necessarily all, of the following:
  • Expert level python programming
  • C/C++
  • Strong knowledge of linear algebra
  • Experience with machine learning algorithms, deep convolutional neural networks (DCCN)
  • Experience with TensorFlow or other similar frameworks
  • Good written and verbal communication skills



Education:

  • MSEE preferred with 2-4 years of experience

 


 

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