DFT Design Engineer, ML Acceleration
$136k - $184kAnnapurna Labs (U.S.) Inc.
Salary: $136,000 - 184,000 per year Requirements:
- Bachelors degree in Electrical, Communications Engineering, or a closely related discipline
- 5+ years of hands-on DFT experience with complex SoC designs in advanced technology nodes
- Practical knowledge of standard DFT methods and tools, including ATPG, JTAG, MBIST, and the balance between test quality and test time
- Experience developing automation scripts
- Masters degree in Electrical, Communications Engineering, or a closely related discipline
- Experience creating STA constraints for DFT modes and collaborating directly with physical design teams to close timing
- Experience with RTL coding and design verification (DV) workflows
- Experience setting up and debugging gate-level simulations with SDF
- Strong programming and scripting ability in Perl, Python, or Tcl
- Practical experience with silicon debug and yield improvement
- Define and develop advanced Design for Test (DFT) architectures for leading-edge technology nodes
- Partner closely with block design and physical design teams to deliver efficient DFT implementations
- Write RTL code and perform verification using Verilog and SystemVerilog
- Use industry-standard DFT tools to generate high-coverage, cost-effective test patterns for advanced silicon defects
- Contribute to silicon debug efforts alongside ATE and systems teams
- Communicate and collaborate across multiple disciplines within the team
- AWS
- Cloud
- Hardware
- Support
- Machine Learning
- Perl
- Python
- SystemVerilog
- Verilog
More:
We build custom SoCs that power AWS Machine Learning servers and support the Cloud-Scale Machine Learning Acceleration team. Our work focuses on designing and optimizing hardware in our data centers, including AWS Inferentia and Trainium systems, which are our custom machine learning inference and training servers. We operate at massive scale and rapidly adopt emerging technologies, with a strong emphasis on high design quality and smart technical trade-offs. We offer comprehensive benefits, including health coverage, 401(k) matching, paid time off, parental leave, sign-on payments, and restricted stock units, with a base salary range of $136,000 to $184,000 annually for Austin, TX.
last updated 42 week of 2026
$104k
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