Job Description
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, Architectu...
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, Architectu...
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- Location Austin, TX
- Job Type Full-time
- Category other-general
- Posted Date July 08, 2026
- Application Deadline July 13, 2026