Amazon Web Services (AWS)
DFT Design Engineer, AWS Machine Learning Acceleration
Amazon Web Services (AWS), Austin, Texas, us, 78716
DFT Design Engineer, AWS Machine Learning Acceleration
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DFT Design Engineer, AWS Machine Learning Acceleration
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Amazon Web Services (AWS) . Description AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to new product innovations that set AWS’s services apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, IoT, Platform, and Productivity Apps services in AWS, including support for customers requiring specialized security solutions. Our organization within AWS UC, Annapurna Labs, designs silicon and software that accelerates innovation. We create custom chips, accelerators, and software stacks to solve unprecedented challenges and deliver impactful results. As a member of the Silicon Optimization Engineering Team, you’ll be responsible for hardware design and optimization in data centers, applying new technologies to large-scale server deployments, aiming to improve customer experience. This role is fast-paced and intellectually challenging, working with industry thought leaders. We value high standards, continuous improvement, and innovation. Key job responsibilities Develop, implement, and verify state-of-the-art DFT architectures. Collaborate with block designers to integrate DFT implementations. Work with physical design teams to set up and implement DFT insertion flows. Develop high-coverage, cost-effective DFT methodologies. Perform RTL coding and verification. Participate in silicon debug and develop scripts for ATE data handling. Coordinate with team members across disciplines. About The Team Why AWS? AWS is the world’s most comprehensive cloud platform, pioneering cloud computing with a broad suite of trusted products and services. Inclusive Team Culture We foster a culture of inclusion through employee-led affinity groups and ongoing learning experiences, encouraging diversity and continuous growth. Work/Life Balance We promote flexibility and support work-life harmony, believing that success at work should not come at the expense of personal well-being. Mentorship and Career Growth We offer resources for professional development, mentorship, and career advancement to help you grow as a professional. Diverse Experiences We value diverse backgrounds and experiences. Even if you do not meet all preferred qualifications, we encourage you to apply. Basic Qualifications BS degree in EE, CE, or CS. 3+ years of practical DFT experience with large processor and/or SoC designs. Knowledge of industry-standard DFT tools and practices, including ATPG, JTAG, MBIST, and trade-offs between test quality and test time. Experience with automation scripting. Preferred Qualifications MS degree in EE, CE, or CS. Broad knowledge of chip design from micro-architecture to physical design. Knowledge of design verification methodologies. Experience with large gate-level simulation setup and debug. Strong programming skills in Perl, Python, or Tcl. Experience with industry-standard DFT/SCAN/ATPG tools. Experience with silicon debug. Amazon is an equal opportunity employer and values diversity. For accommodations during the application process, please visit [Amazon's accommodations page](https://amazon.jobs/content/en/how-we-hire/accommodations). Company : Annapurna Labs (U.S.) Inc. Job ID: A2788478 Additional Details
Seniority level: Not Applicable Employment type: Full-time Job function: IT, Consulting, Engineering Industries: IT Services, IT Consulting Location: Austin, TX Salary range: $120,000 - $170,000
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Join to apply for the
DFT Design Engineer, AWS Machine Learning Acceleration
role at
Amazon Web Services (AWS) . Description AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to new product innovations that set AWS’s services apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, IoT, Platform, and Productivity Apps services in AWS, including support for customers requiring specialized security solutions. Our organization within AWS UC, Annapurna Labs, designs silicon and software that accelerates innovation. We create custom chips, accelerators, and software stacks to solve unprecedented challenges and deliver impactful results. As a member of the Silicon Optimization Engineering Team, you’ll be responsible for hardware design and optimization in data centers, applying new technologies to large-scale server deployments, aiming to improve customer experience. This role is fast-paced and intellectually challenging, working with industry thought leaders. We value high standards, continuous improvement, and innovation. Key job responsibilities Develop, implement, and verify state-of-the-art DFT architectures. Collaborate with block designers to integrate DFT implementations. Work with physical design teams to set up and implement DFT insertion flows. Develop high-coverage, cost-effective DFT methodologies. Perform RTL coding and verification. Participate in silicon debug and develop scripts for ATE data handling. Coordinate with team members across disciplines. About The Team Why AWS? AWS is the world’s most comprehensive cloud platform, pioneering cloud computing with a broad suite of trusted products and services. Inclusive Team Culture We foster a culture of inclusion through employee-led affinity groups and ongoing learning experiences, encouraging diversity and continuous growth. Work/Life Balance We promote flexibility and support work-life harmony, believing that success at work should not come at the expense of personal well-being. Mentorship and Career Growth We offer resources for professional development, mentorship, and career advancement to help you grow as a professional. Diverse Experiences We value diverse backgrounds and experiences. Even if you do not meet all preferred qualifications, we encourage you to apply. Basic Qualifications BS degree in EE, CE, or CS. 3+ years of practical DFT experience with large processor and/or SoC designs. Knowledge of industry-standard DFT tools and practices, including ATPG, JTAG, MBIST, and trade-offs between test quality and test time. Experience with automation scripting. Preferred Qualifications MS degree in EE, CE, or CS. Broad knowledge of chip design from micro-architecture to physical design. Knowledge of design verification methodologies. Experience with large gate-level simulation setup and debug. Strong programming skills in Perl, Python, or Tcl. Experience with industry-standard DFT/SCAN/ATPG tools. Experience with silicon debug. Amazon is an equal opportunity employer and values diversity. For accommodations during the application process, please visit [Amazon's accommodations page](https://amazon.jobs/content/en/how-we-hire/accommodations). Company : Annapurna Labs (U.S.) Inc. Job ID: A2788478 Additional Details
Seniority level: Not Applicable Employment type: Full-time Job function: IT, Consulting, Engineering Industries: IT Services, IT Consulting Location: Austin, TX Salary range: $120,000 - $170,000
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