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AI/ML Acceleration Engineer

158487
Hyderabad, India, India
Mar 26, 2020

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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.

Required:  

BS or MS in CS, EE or CE with 3+ years of software development experience 

Expertise in C++ and/or Python 

Excellent problem-solving skills and willingness to think outside the box  

Understanding of machine learning basics including convolutional neural networks (CNNs) and deep neural networks (DNNs) 

Familiarity with machine learning software stacks such as TensorFlow or Caffe 

Experience with production software quality assurance practices, methodologies and procedures 

Excellent communication skills and experience working with global teams 

 

Preferred: 

Exposure to any of these areas:  

DNN model compression techniques like quantization, pruning 

Compilers, LLVM, front-end development 
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