Amazon
DFT Design Engineer, Machine Learning Acceleration
$154K–$215K
Austin, TX · Full-time · Posted Sep 1, 2026
- Experience
- 5+ years of practical DFT experience with complex SoC designs in advanced technology nodes.
- Education
- Bachelor's degree in Electrical or Communications Engineering or a related field.
About the job
Design and optimize DFT architectures and test solutions for custom AWS machine-learning SoCs, supporting implementation, silicon debug, and test-quality trade-offs.
What you'll do
- Develop DFT architectures for advanced technology nodes and work with block designers and physical design teams to implement them.
- Perform RTL coding and verification, and create test patterns using industry-standard DFT tools.
- Support silicon debug with ATE and system teams, collaborating across disciplines.
What they ask for
- 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 DFT tools and practices, including ATPG, JTAG, MBIST, and test-quality versus test-time trade-offs.
- Experience developing automation scripts.
Nice to have
- Master's degree in Electrical or Communications Engineering or a related field.
- Experience with DFT STA constraints and timing closure, RTL/DV flows, gate-level simulation with SDF, Perl, Python or Tcl, or silicon debug and yield optimization.
Pay
153,600.00 - 215,000.00 USD annually (base salary)
Tools
Verilog, System Verilog, ATPG, JTAG, MBIST, SDF, Perl, Python
AI focus
The role designs and tests hardware for AWS machine-learning inference and training systems, including Inferentia and Trainium.
Model-written summary · the original posting is authoritative