Yield & Data Analytics Engineer — AI-Driven Product

Advanced Micro Devices, Inc.

Singapore

On-site

SGD 70,000 - 110,000

Full time

14 days+

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Job summary

Advanced Micro Devices, Inc. in Singapore is seeking a data analytics engineer to evaluate and assist in the development of AMD AECG product using internal analysis tools, performing data mining and statistical analysis on wafer sort and final test parametric data to support initial product assessment.

You will collaborate with Engineering and Tools Development teams across sites to automate analytical tasks with scripting languages and AI, drive parametric yield improvements, and define recipes

Qualifications

  • Strong analytical and problem-solving abilities.
  • Excellent communication and teamwork skills.
  • Experience with data mining and statistical analysis is preferred.
  • Hands-on JMP and scripting (Perl/Python) experience is a plus.
  • Experience in manufacturing process is a plus.

Responsibilities

  • Perform data mining and statistical data analysis on wafer sort and final test parametric to support initial product assessment.
  • Identify and drive parametric yield improvement to meet yield target.
  • Collaborate with Tools Development to feedback binning, yield and parametric results to enhance tools’ capabilities and productivity.
  • Develop methodologies to automate analytical tasks using scripting languages and AI.
  • Defines recipes for high volume Engineering Samples and Production supply.

Skills

Analytical skills
Communication
Teamwork
Troubleshooting
Problem solving

Education

Bachelor’s or Master’s in Electrical or Computer Engineering

Tools

JMP
Perl
Python

Job description

Advanced Micro Devices, Inc. in Singapore is seeking a data analytics engineer to evaluate and assist in the development of AMD AECG product using internal analysis tools, performing data mining and statistical analysis on wafer sort and final test parametric data to support initial product assessment.

You will collaborate with Engineering and Tools Development teams across sites to automate analytical tasks with scripting languages and AI, drive parametric yield improvements, and define recipes

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