DFT Design Engineer, Machine Learning Acceleration

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.

Key job 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 Basic

Qualifications

• - 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

Preferred Qualifications

• -
• 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
• 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
• https://amazon.jobs/content/en/how-we-hire/accommodations
• [https://amazon.jobs/content/en/how-we-hire/accommodations] for more
• information. If the country/region you’re applying in isn’t listed, please
• contact your Recruiting Partner.
• The base salary range for this position is listed below. Your Amazon package
• will include sign-on payments and restricted stock units (RSUs). Final
• compensation will be determined based on factors including experience,
• qualifications, and location. Amazon also offers comprehensive benefits
• including health insurance (medical, dental, vision, prescription, Basic Life &
• AD&D insurance and option for Supplemental life plans, EAP, Mental Health
• Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy
• Reimbursement coverage), 401(k) matching, paid time off, and parental leave.
• Learn more about our benefits at https://amazon.jobs/en/benefits
• [https://amazon.jobs/en/benefits].
• USA, TX, Austin - 136,000.00 - 184,000.00 USD annually