DFT Design Engineer, Machine Learning Acceleration

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
• Utilize industry standard DFT tools to create high coverage and cost-effective test patterns to target advanced silicon defects
• Participate in Silicon debug efforts alongside ATE and System teams
• Communicate and work with team members across multiple disciplines

Basic Qualifications

• Bachelor's degree in Electrical or Communications Engineering or a related field
• 5+ years of practical DFT experience with complex SoC designs in advanced technology nodes
• Experience with standard tools and practices in DFT, including ATPG, JTAG, MBIST and trade-offs between test quality and test time

Preferred Qualifications

• Master's degree in Electrical or Communications Engineering or a related field
• Practical experience developing STA constraints for DFT modes and working directly with PD teams to close timing
• Experience with RTL coding and design verification (DV) flows
• Experience with gate-level simulation setup and debug with SDF
• Strong programming and scripting skills in Perl, Python or Tcl
• Practical experience with silicon debug and yield optimization

Company

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers.

Location

Austin, TX

Pay

$136,000.00 - $184,000.00 USD annually