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Director of Hardware Engineering

Director of Hardware Engineering

  • Location

    Mountain View, California

  • Sector:

    Other Technology Roles

  • Job type:

    Permanent

  • Salary:

    US$250000 - US$300000 per annum

  • Contact:

    Matthew Ferdenzi

  • Contact email:

    mferdenzi@understandingrecruitment.com

  • Job ref:

    108927_1619016724

  • Published:

    3 months ago

  • Expiry date:

    2021-05-21

  • Startdate:

    03/06/2021

  • Consultant:

    #

Director of Hardware Engineering (HW/SW codesign & modeling)

Understanding Recruitment is seeking a Director of Hardware Engineering (HW/SW codesign & modelling) to join a a Stanford/MIT spinout that combines photonics devices with hardware acceleration to create faster and more efficient processing chips for Artificial Intelligence. We founded our mission in 2018 and are looking for a Director of HW/SW Co-Design to join our growing team after our historic Silicon Valley Series A fundraise.

As a Director of Hardware Engineering(HW/SW codesign & modeling) you will recruit and lead a small team of Modeling Engineers that will work across different teams to develop a system capable of ingesting state of the art Deep Learning workloads. As Director of Hardware Engineering(HW/SW codesign & modeling), you will be tasked with building a modeling infrastructure and guide architectural decisions and tradeoffs within the performance & power of our multi-core system.

What we can offer a Director of Hardware Engineering(HW/SW codesign & modeling):

  • A chance to be a part of shaping technology that will affect technology on a global scale.
  • A great and iconic location in Mountain View, California.
  • A collaborative work culture, that not only shares the same vision but consistently works together to achieve that vision.
  • Excellent benefits. As well as flexible working, remote and onsite in Bay Area office offered.

Key Skills: Director of Hardware Engineering (HW/SW codesign & modeling), Modeling, C++, Software, Hardware, Mixed Signal, Digital Design, SystemC, SOTA, System Modeling techniques, Leading, Mentoring, Machine Learning, Deep Learning, Photonic Computing.