DFT Design Engineer I - AWS Machine Learning Acceleration
Work on Design-for-Test (DFT) implementation and verification for custom silicon used in AWS ML acceleration. You will design and optimize DFT architectures, integrate DFT into block and physical design flows, and support silicon bring-up and ATE data analysis.
Entry-level (Engineer I). Suitable for early-career engineers, new graduates, or candidates with academic/internship experience in VLSI/DFT.
Primary responsibilities include designing, integrating, and validating DFT for complex chips and supporting silicon validation.
Must-have technical skills and experience; preferred items are listed separately.
Required: Bachelor's degree (or in progress) in Electrical Engineering, Computer Engineering, or a related field. Preferred: MS in EE, CE, or Computer Science. Internship or academic experience in VLSI/DFT is relevant and accepted as practical experience.
Company: Amazon
Headquarters: Seattle, Washington, United States
Amazon is a global leader in e-commerce and cloud computing, committed to delivering fast, reliable services across diverse sectors. The company's innovative technologies include AWS, Kindle, and Echo, as well as developing low Earth orbit satellite networks for improved internet connectivity worldwide.
