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Product Management Engineer - Alveo Acceleration Cards

157285
United States
May 17, 2019

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Job Description

Description

Software-acceleration is taking the data center by storm. With the advent of machine learning and other high complexity workloads, Xilinx FPGAs and Alveo data center accelerator cards have emerged as the ideal custom computing platform.

 

Alveo cards are PCI Express® (PCIe) Gen3 x16 compliant cards featuring the Xilinx® UltraScale+™ Architecture. They deliver dramatic acceleration across a broad set of compute-intensive applications such as database acceleration, machine learning, data analytics, and video processing. They are also fully reconfigurable to provide an ideal fit for the changing workloads of the modern data center.

 

Xilinx is looking for highly motivated engineers to drive the customer experience for Alveo cards and the supporting development stack. 


Primary Duties and Responsibilities:

  • Drive the customer experience for Alveo cards
  • Facilitate the onboarding process for developers of accelerated application targeting Alveo
  • Ensuring a seamless deployment experience for data center customers
  • Develop necessary collateral (documentation, tutorials, examples…) for successful adoption
  • Assist in the testing of new features and capabilities
  • Support customers, partners and FAEs (occasional travel required)

Job Requirements
  • A master or bachelor degree in Computer Engineering, or a related field
  • 2+ years of experience in FPGA design
  • 2+ years of experience working with PCIe cards
  • Excellent communication and technical presentation skills, both verbal and written
  • Understand what it means to create effective onboarding collateral
  • Strong interpersonal skills, team player, good at working with others

 

Experience in any of the following areas would be a strong plus:

  • Xilinx Vivado design flow, including partial reconfiguration
  • Networking-enabled cards
  • PCIe card management software and server configurations
  • PCIe specifications
  • Debugging hardware and software in a lab environment


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