Description 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 a Sr. 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 • Act as the primary point of contact for cross-functional stakeholders (PD, Architecture, and Product Engineering) to align schedules and goals • Mentor and develop junior engineers through code reviews, methodology training, and technical guidance • Manage project timelines and deliverables, ensuring high-quality DFT implementation from RTL through Silicon bring-up Basic Qualifications - BS degree in EE, CE, or CS - 5+ years of practical DFT experience with large processor and/or SoC designs - Knowledge about industry 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 - MS degree in EE, CE or CS - Good breadth of knowledge in chip design from micro-architecture through physical design - Good knowledge of design verification (DV) simulation methodologies - Experience with large gate-level simulation setup and debug with SDF - Strong programming and scripting skills in Perl, Python or Tcl - Experience with industry standard DFT/SCAN/ATPG tools - Experience with STA constraints development and analysis for DFT modes - Practical experience with silicon debug 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 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 . USA, TX, Austin - 159,200.00 - 215,300.00 USD annually