DFT Design Engineer, Machine Learning Acceleration

Remote136,000 - 184,000 USD
United States

Job Description, Responsibilities & Requirements

About the Position

Custom SoCs (System on Chip) are at the heart of AWS Machine Learning servers. As a member of the Cloud-Scale Machine Learning Acceleration team, you'll be responsible for designing and optimizing hardware in our data centers, including AWS Inferentia and Trainium systems-our custom-designed machine learning inference and training servers. Our success depends on world-class server infrastructure as we handle massive scale and rapidly integrate emerging technologies. We're looking for an ASIC DFT Design Engineer to help us trailblaze new technologies and architectures while ensuring high design quality and making the right trade-offs.

Responsibilities

  • Define and develop state-of-the-art Design for Test (DFT) architectures for advanced technology nodes
  • Work closely with block designers and physical design (PD) team to implement highly efficient DFT solutions
  • Perform RTL coding and Verification using Verilog/System Verilog
  • Utilize industry standard DFT tools to create high coverage and cost-effective test patterns to target advanced silicon defects
  • Participate in Silicon debug efforts alongside ATE and System teams
  • Communicate and work with team members across multiple disciplines

Requirements

  • Bachelor's degree in Electrical or Communications Engineering or a related field
  • 5+ years of practical DFT experience with complex SoC designs in advanced technology nodes
  • Experience with standard tools and practices in DFT, including ATPG, JTAG, MBIST and trade-offs between test quality and test time
  • Experience with automation script development

Nice to Have

  • Master's degree in Electrical or Communications Engineering or a related field
  • Practical experience developing STA constraints for DFT modes and working directly with PD teams to close timing
  • Experience with RTL coding and design verification (DV) flows
  • Experience with gate-level simulation setup and debug with SDF
  • Strong programming and scripting skills in Perl, Python or Tcl
  • Practical experience with silicon debug and yield optimization

We Offer

  • Competitive base salary range: 136,000.00 - 184,000.00 USD annually
  • Comprehensive benefits including health insurance, 401(k) matching, paid time off, and parental leave
  • Sign-on payments and restricted stock units (RSUs)
  • Opportunity to work in a dynamic and innovative environment at Amazon

About the Company

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit Amazon's accommodations page for more information.

AmazonUnited States 136,000 - 184,000 USD 136,000 - 184,000 USD

Job Details

Company name:
Amazon
Salary:
136,000 - 184,000 USD
Location:
United States
Work Mode:
Remote
Posted on TheJob:
5/3/2026
Last checked:
5/20/2026
Posted on the source:
N/A
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