{"schemaVersion":"jobsearcher.job.v1","id":"91bcdcf7a64bef7377cd756d","url":"https://jobsearcher.com/jobs/91bcdcf7a64bef7377cd756d","canonicalUrl":"https://jobsearcher.com/jobs/91bcdcf7a64bef7377cd756d","title":"Sr. DFT Design Engineer, AWS Machine Learning Acceleration","description":"DescriptionCustom 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 responsibilitiesDefine and develop state-of-the-art Design for Test (DFT) architectures for advanced technology nodesWork closely with block designers and physical design (PD) team to implement highly efficient DFT solutionsAct as the primary point of contact for cross-functional stakeholders (PD, Architecture, and Product Engineering) to align schedules and goalsMentor and develop junior engineers through code reviews, methodology training, and technical guidanceManage project timelines and deliverables, ensuring high-quality DFT implementation from RTL through Silicon bring-upBasic QualificationsBachelor's degree in computer science, electrical engineering, or related field5+ years of practical semiconductor ASIC design work including owning end to end design of major SOC blocks experienceKnowledge about industry standard tools and practices in DFT, including ATPG, JTAG, MBIST and trade-offs between test quality and test timeExperience with automation script developmentPreferred QualificationsMaster's degree or Ph.D. degree in Electrical Engineering or related fieldExperience in RTL coding and debug, as well as performance, power, area analysis and trade-offsExperience with modern ASIC/FPGA design and verification toolsExperience with SOC bring-up and post-silicon validationMS degree in computer science, electrical engineering, or related fieldExperience with gate-level testing and multi-clock design practices (CDC)Good breadth of knowledge in chip design from micro-architecture through physical designGood knowledge of design verification (DV) simulation methodologiesStrong programming and scripting skills in Perl, Python or TclExperience with industry standard DFT/SCAN/ATPG toolsExperience with STA constraints development and analysis for DFT modesPractical experience with silicon debugAmazon 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","company":"Amazon.com","rawCompany":"amazoncom","city":"Austin","state":"TX","isRemote":false,"isActive":false,"createdAt":"2026-05-04T06:41:48.104Z","occupations":[{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"17-2061.00","title":"Computer Hardware Engineers","slug":"computer-hardware-engineers"},{"code":"17-2072.00","title":"Electronics Engineers, Except Computer","slug":"electronics-engineers-except-computer"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"334111","title":"Electronic Computer Manufacturing","slug":"electronic-computer-manufacturing"},{"code":"334413","title":"Semiconductor and Related Device Manufacturing","slug":"semiconductor-and-related-device-manufacturing"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Sr. DFT Design Engineer, AWS Machine Learning Acceleration","description":"DescriptionCustom 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 responsibilitiesDefine and develop state-of-the-art Design for Test (DFT) architectures for advanced technology nodesWork closely with block designers and physical design (PD) team to implement highly efficient DFT solutionsAct as the primary point of contact for cross-functional stakeholders (PD, Architecture, and Product Engineering) to align schedules and goalsMentor and develop junior engineers through code reviews, methodology training, and technical guidanceManage project timelines and deliverables, ensuring high-quality DFT implementation from RTL through Silicon bring-upBasic QualificationsBachelor's degree in computer science, electrical engineering, or related field5+ years of practical semiconductor ASIC design work including owning end to end design of major SOC blocks experienceKnowledge about industry standard tools and practices in DFT, including ATPG, JTAG, MBIST and trade-offs between test quality and test timeExperience with automation script developmentPreferred QualificationsMaster's degree or Ph.D. degree in Electrical Engineering or related fieldExperience in RTL coding and debug, as well as performance, power, area analysis and trade-offsExperience with modern ASIC/FPGA design and verification toolsExperience with SOC bring-up and post-silicon validationMS degree in computer science, electrical engineering, or related fieldExperience with gate-level testing and multi-clock design practices (CDC)Good breadth of knowledge in chip design from micro-architecture through physical designGood knowledge of design verification (DV) simulation methodologiesStrong programming and scripting skills in Perl, Python or TclExperience with industry standard DFT/SCAN/ATPG toolsExperience with STA constraints development and analysis for DFT modesPractical experience with silicon debugAmazon 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","datePosted":"2026-05-04T06:41:48.104Z","dateModified":"2026-05-04T06:41:48.104Z","hiringOrganization":{"@type":"Organization","name":"Amazon.com","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Austin","addressRegion":"TX","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"91bcdcf7a64bef7377cd756d"},"url":"https://jobsearcher.com/jobs/91bcdcf7a64bef7377cd756d"}}