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PD Methodology Engineer, Annapurna Labs - Cloud Scale Machine Learning at Amazon · Austin, TX · Joined
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PD Methodology Engineer, Annapurna Labs - Cloud Scale Machine Learning

Amazon · Austin, TX · Just now · 0 applicants
NewOn-siteFull-timeMiddle
Pay
$177k–$247kListed
Workplace
On-site
Job type
Full-time
Level
Middle
Team: Annapurna Labs · Source: jobright · Posted by joined-scrapper

About the role

Annapurna Labs, an Amazon organization, is hiring a PD Methodology Engineer to develop physical design and verification methodologies for ML accelerator chips, optimize design flows, and partner with hardware teams on design quality and efficiency.

What you’ll do

  • Develop and deploy physical design and verification methodologies for machine learning accelerator chips
  • Optimize design flows
  • Work across hardware teams to improve design quality and efficiency

What you’ll need

  • Bachelor's degree in Electrical Engineering or a related field
  • Master's degree in Electrical or Communications Engineering or a related field
  • Experience identifying bugs in architecture, algorithms, functionality, and performance
  • Strong overall debugging skills
  • Experience with industry standard tools and scripting languages such as Python or Perl for automation

Original job description

Annapurna Labs (U.S.) Inc., an organization within Amazon, designs silicon and software for cloud computing. The PD Methodology Engineer develops and deploys physical design and verification methodologies for machine learning accelerator chips, optimizes design flows, and works across hardware teams to improve design quality and efficiency.Bachelor's…

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