DFT Design Engineer I, AWS Machine Learning Acceleration
AmazonJob Title
DFT Design Engineer I, AWS Machine Learning Acceleration
Role Summary
Join the Silicon Optimization Engineering Team to design and optimize Design for Test (DFT) solutions for AWS machine-learning acceleration silicon used in data centers.
The role focuses on DFT architecture development, RTL implementation and verification, DFT insertion flow with physical design, and silicon debug to improve performance, quality, and cost of large-scale server deployments.
Experience Level
Entry-level (Engineer I). Suitable for early-career candidates, new graduates, or candidates with internship/academic experience in VLSI or DFT.
Responsibilities
Contribute to the design, integration, verification, and debug of DFT for accelerator SoCs and collaborate across design and physical teams.
- Develop, implement, and verify DFT architectures.
- Integrate DFT implementations with block designers.
- Work with physical design to set up and implement DFT insertion flows.
- Develop high-coverage, cost-effective DFT methodologies.
- Perform RTL coding and verification related to DFT features.
- Participate in silicon debug and write scripts to process ATE-related data.
- Communicate and coordinate with cross-functional teams.
Requirements
Key qualifications and technical skills. Distinct lists for must-have and preferred items.
Must-have
- Academic, internship, or professional experience with VLSI design or DFT.
- Familiarity with automation script development or software development.
- Practical RTL coding and verification experience.
- Ability to debug silicon and analyze test/ATE data.
- Effective communication and collaboration skills across disciplines.
Preferred
- Project or internship experience with DFT techniques (SCAN, JTAG, MBIST).
- Breadth of knowledge across chip design, from micro-architecture through physical design.
- Experience programming or scripting in Perl, Python, or Tcl.
Education Requirements
Required or in-progress: Bachelor's degree in Electrical Engineering, Computer Engineering, or a related field. A Master's degree in EE, CE, or Computer Science is listed as preferred. Academic, internship, or professional experience in VLSI/DFT is also accepted.
About the Company
Company: Amazon
Headquarters: Seattle, Washington, United States
Amazon is a global leader in e-commerce and cloud computing, committed to delivering fast, reliable services across diverse sectors. The company's innovative technologies include AWS, Kindle, and Echo, as well as developing low Earth orbit satellite networks for improved internet connectivity worldwide.
