Senior Product Engineer - Yield & AI Analytics

systems on silicon manufacturing company pte ltd

Singapore

On-site

SGD 70,000 - 110,000

Full time

14 days+

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Job summary

SSMC (Systems on Silicon Manufacturing Company Pte. Ltd.) invites engineers to join the Product Engineering team. You will work on identifying yield limiters, driving yield improvements, and collaborating with customers and fab partners on DfM-related issues.

The role emphasizes data analytics, AI/ML use-cases, and deployment of AI-powered solutions across the department. Ideal candidates have 2–8 years in product/test engineering or related fields, with strong fundamentals in semiconductor

Qualifications

  • Master/Bachelor’s degree in electrical/electronic engineering or physics.
  • 2–8 years in product/test engineering, failure analysis or process-integration.
  • Fab process, yield engineering or design experience is a plus.
  • Open to entry-level candidates.

Responsibilities

  • Identify and resolve yield limiters in product, test and fab-processes.
  • Drive yield improvement and address product yield, quality and reliability issues.
  • Collaborate with Customers/Mother Fab on DfM-related issues.
  • Conduct product yield analyses to identify root causes of wafer sort/final test failures.
  • Set up fault diagnostic capabilities to enable yield improvement.
  • Identify yield and PCM parameters and inline metrics correlating to eSort yield through data analytics and automation.
  • Explore AI/ML techniques and define use-cases for yield improvement, then deploy across PE.

Skills

Data visualization
AI/ML concepts
Analytical thinking
Communication skills

Education

Master's or Bachelor's in Electrical/Electronic Engineering or Physics

Tools

Power BI
Tableau
SemiTronix
AI/ML tooling

Job description

SSMC (Systems on Silicon Manufacturing Company Pte. Ltd.) invites engineers to join the Product Engineering team. You will work on identifying yield limiters, driving yield improvements, and collaborating with customers and fab partners on DfM-related issues.

The role emphasizes data analytics, AI/ML use-cases, and deployment of AI-powered solutions across the department. Ideal candidates have 2–8 years in product/test engineering or related fields, with strong fundamentals in semiconductor

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