Amazon
Sr. DFT Design Engineer, AWS Machine Learning Acceleration
$185K–$250K
Austin, TX · Senior · Full-time · Posted May 1, 2026
- Experience
- 5+ years of practical semiconductor ASIC design work, including owning end-to-end design of major SoC blocks.
- Education
- Bachelor's degree in computer science, electrical engineering, or related field.
About the job
Designs and optimizes DFT architectures and implementations for AWS machine-learning SoCs, supporting the design process from RTL through silicon bring-up.
What you'll do
- Define DFT architectures for advanced technology nodes and work with block designers and physical design teams to implement them.
- Coordinate with cross-functional stakeholders on schedules and goals, and mentor junior engineers.
- Manage project timelines and deliverables for high-quality DFT implementation through silicon bring-up.
What they ask for
- Bachelor's degree in computer science, electrical engineering, or a related field.
- 5+ years of practical semiconductor ASIC design work, including owning end-to-end design of major SoC blocks.
- Knowledge of industry-standard DFT practices and tools, including ATPG, JTAG, and MBIST, and trade-offs between test quality and test time.
- Experience with automation script development.
Nice to have
- Master's degree or Ph.D. in Electrical Engineering or a related field; the posting also lists an MS degree in computer science, electrical engineering, or a related field.
- Experience with RTL coding and debug, ASIC/FPGA tools, SoC bring-up, post-silicon validation, gate-level testing, CDC, DFT/SCAN/ATPG tools, STA, or Perl, Python, or Tcl.
Pay
185,200.00 - 250,000.00 USD annually (base salary)
Tools
ATPG, JTAG, MBIST, RTL, ASIC, FPGA, Perl, Python
AI focus
Supports hardware design for AWS machine-learning inference and training systems, including Inferentia and Trainium; the role focuses on DFT.
Model-written summary · the original posting is authoritative