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
.