DFT Design Engineer, Machine Learning Acceleration

Job Title

DFT Design Engineer, Machine Learning Acceleration

Role Summary

Design and optimize design-for-test (DFT) solutions for AWS machine-learning SoCs (Inferentia, Trainium) used in data-center servers. Work with block designers, physical design, ATE and system teams to deliver testable, high-quality silicon and support silicon bring-up.

Experience Level

Mid-level — typically 5+ years of hands-on DFT experience with complex SoC designs.

Responsibilities

Primary responsibilities include defining DFT architecture, implementing test logic, and supporting silicon debug.

• Define and develop DFT architectures for advanced technology nodes.
• Implement DFT in RTL using Verilog/SystemVerilog and integrate with PD flows.
• Use industry-standard DFT tools (ATPG, JTAG, MBIST) to generate high-coverage, cost-effective test patterns.
• Develop automation scripts to streamline DFT and pattern-generation flows.
• Participate in silicon bring-up and debug alongside ATE and system teams.
• Collaborate with block designers and physical design teams to implement DFT-friendly constraints and close timing.
• Analyze and make trade-offs between test quality, test time, and cost.

Requirements

Must-have technical skills and practical experience.

• 5+ years of practical DFT experience on complex SoC designs at advanced nodes.
• Experience with ATPG, JTAG, MBIST and standard DFT flows and trade-offs.
• RTL coding and verification experience using Verilog/SystemVerilog.
• Experience developing automation scripts to support DFT and verification flows.
• Experience participating in silicon debug and working with ATE or system teams.

Nice-to-have:

• Experience developing STA constraints for DFT modes and working with PD teams for timing closure.
• Gate-level simulation setup and SDF-based debug experience.
• Strong scripting skills (Perl, Python, Tcl).
• Experience with yield optimization and post-silicon debug.

Education Requirements

Bachelor's degree in Electrical Engineering, Communications Engineering, Computer Engineering, Computer Science or a related technical field is required. A Master's degree in a related field is preferred.

About the Company

Company: Amazon Web Services

Headquarters: Seattle, Washington, USA

Amazon Web Services (AWS) provides a comprehensive and evolving cloud computing platform that includes infrastructure as a service (IaaS), platform as a service (PaaS), and software as a service (SaaS). AWS allows business and developers to use a wide range of cloud services for computing power, storage, and content delivery, among others, thus fostering innovation and enabling faster deployment of applications. AWS is designed to be scalable, flexible, and cost-effective across industries worldwide.