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AI/ML Computer Architect

162002
San Jose, CA, United States
Dec 16, 2021

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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? We 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 beginning, 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 improve people's lives.

If you are PASSIONATE, ADAPTABLE, and INNOVATIVE, Xilinx is the right place for you! At Xilinx, we care deeply about creating significant development experiences while building a strong sense of belonging and connection. We champion 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.

Xilinx is a US federal government contractor and subcontractor. As required by Executive Order, our US employees are required to be fully vaccinated against COVID-19 regardless of the employee's work location or work arrangement (e.g., telework, remote work, etc.), subject to such exceptions as required by law. If selected, you will be required to be vaccinated against COVID-19 and submit documentation of proof of vaccination or have an approved accommodation by December 8, 2021.

Job Description

Based in our expanding Architecture Group, we are recruiting outstanding engineers with a passion for Machine Learning & AI to lead the definition and specification of Xilinx next-generation architectures. PhD/MSc-qualified engineers, with a strong background in architectures for AI/ML, mathematical modelling and digital signal processing (DSP), will be at the forefront of identifying, specifying and developing new architectures for machine learning and how they will impact Xilinx next-generation products.

You will join a team whose architecture and systems activities cover a wide range of disciplines including machine learning for data center (HPC) and embedded computing (e.g., automotive ADAS) applications; emerging memory technologies; on-chip interconnects; specification, modelling and analysis of modern heterogeneous multicore architectures.

 

  • Define the next generation micro-architecture for AI/ML within Xilinx  
  • Participate in Performance and functional modeling.
  • Micro-architecture Definition and Modelling.
  • Technically interact with Xilinx-internal engineering teams and Xilinx customers

 

#mh

Job Qualifications

Education Requirements

BS with 5+ years of exp or MS 3+ years of exp or PhD in Electrical Engineering or Computer Engineering or related equivalent

 

  • Software engineering experience relevant to modern architecture modeling
  • Strong background in modern microarchitectures
  • High level understanding of microarchitecture at the system and SoC levels
  • Strong C/C++ programming experience and scripting skills
  • Strong communication skills, verbal and written

Beneficial would be domain background in one or more of the following areas:

  • Good understanding of on-chip interconnect architectures and memory hierarchy in heterogeneous architectures
  • Programming modern parallel architectures
  • Flexibility, interest in technology and eagerness to learn

 

Xilinx is a US federal government contractor and subcontractor. As required by Executive Order, our US employees are required to be fully vaccinated against COVID-19 regardless of the employee’s work location or work arrangement (e.g., telework, remote work, etc.), subject to such exceptions as required by law. If selected, you will be required to be vaccinated against COVID-19 and submit documentation of proof of vaccination or have an approved accommodation by December 8, 2021

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