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Product Management Engineer - Software Products

157142
San Jose, CA, United States
Sep 9, 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.

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.

 

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.

   

The Product Marketing Engineer position is in the Software and AI marketing group, located in San Jose (California) or Longmont (Colorado), for an expert marketing engineer to focus on scaling technical expertise and driving product requirements. The successful candidate will work closely with customers, the Xilinx field, market segment architects and R&D to enable the next generation of designs.

 

 

Responsibilities:

 

  • Drive definition of Xilinx software-defined algorithm acceleration tool flows and hardware-accelerated libraries
  • Define integration of machine learning / AI into hardware/software acceleration systems for both data center and edge / IoT applications
  • Create marketing requirements documents, including proof-of-concept designs, illustrating design flows, methodologies, and competitive differentiation for algorithm acceleration on Xilinx FPGAs and ACAPs
  • Drive the evolution of tools and features related to Xilinx software acceleration by collaborating with engineering and helping drive tool features.
  • Drive best-in-class development flows and methodologies for software acceleration
  • Represent the needs of end-users, evaluate market trends and competition, and use this information to determine what features to build for software acceleration tools
  • 10+ years of industry experience with GPU programming, OpenCL or CUDA optimization, and debug techniques.
  • Strong CUDA, OpenCL, C/C++ programming and Python scripting skills.
  • Solid understanding of machine architectures and micro-architectural performance considerations.
  • Experience with parallel programming and data flow graphs.
  • Experience with VLIW compilers and architectures is a plus.
  • Experience with explaining and evangelizing advanced technical systems is a plus.
  • Experience with FPGA design is a plus.
  • Experience with machine learning inference is a plus.
  • Experience with Jupyter Notebooks is a plus.
  • Excellent written and verbal communication skills, presentations skills, and the ability to work with multiple groups.

   

 

Education/Experience:

 

• BS/MS (Master's Degree preferred) in CS/EE with a minimum of 10+ years’ experience with GPU programming using OpenCL or CUDA, optimization and debug techniques

Job Requirements:

 

  • 10+ years of industry experience with GPU programming, OpenCL or CUDA optimization, and debug techniques.
  • Strong CUDA, OpenCL, C/C++ programming and Python scripting skills.
  • Solid understanding of machine architectures and micro-architectural performance considerations.
  • Experience with parallel programming and data flow graphs.
  • Experience with VLIW compilers and architectures is a plus.
  • Experience with explaining and evangelizing advanced technical systems is a plus.
  • Experience with FPGA design is a plus.
  • Experience with machine learning inference is a plus.
  • Experience with Jupyter Notebooks is a plus.
  • Excellent written and verbal communication skills, presentations skills, and the ability to work with multiple groups.

 

Education/Experience:

 

• BS/MS (Master's Degree preferred) in CS/EE with a minimum of 10+ years’ experience with GPU programming using OpenCL or CUDA, optimization and debug techniques

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