Product Engineering Engineer/ Senior Engineer

Systems on Silicon Manufacturing Co Pte Ltd; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

SSMC invites applications for an Engineer/Senior Engineer in the Product Engineering Department to drive yield improvement across Fab processes and test flows. You will identify yield limiters, analyze data, and collaborate with Customers/Mother Fab on DfM issues, deploying AI-powered use-cases for enterprise-scale impact.

You should have a strong foundation in electrical/electronic engineering or physics, 2–8 years in product/test engineering or yield-related roles, and hands-on experience with

Qualifications

• Identify & resolve Product, Test & Fab-Process related yield limiters
• Driver for yield improvement and resolve product yield, quality and reliability issues
• Work with Customers/Mother Fab on the DfM related issue
• Conduct product yield analyses to identify root cause of wafer sort and final test failures
• Set up fault diagnostic capabilities for yield improvement
• Identify yield & PCM parameters, inline parameters that correlate to eSort yield by data analytic and automation
• Embark and explore new techniques in productivity improvement projects including AI/ML use-cases for yield improvement
• Deploy and fan-out newly introduced AI-powered use-case across whole PE department
• Develop and implement improvement to enhance data accuracy and response time
• Work with IT department to maintain clean, organized datasets for validation and model training

Responsibilities

• Identify yield limiters and drive data-driven solutions across Fab-Process
• Lead analyses to identify root causes of yield, test and reliability issues
• Collaborate with internal teams and customers on DfM-related challenges
• Develop and implement AI/ML-driven yield improvement strategies
• Improve data quality and validation processes for faster decision-making
• Utilize data visualization tools to monitor yield metrics and trends

Skills

Data analytics

Interpersonal communication

Analytical skills

Problem solving

AI/ML knowledge

Education

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

Tools

Power BI

Tableau

SemiTronix

AI/ML frameworks

Job description

SSMC (Systems on Silicon Manufacturing Company Pte. Ltd.) is a Joint Venture between NXP and TSMC. We offer flexible and cost-effective semiconductor fabrication solutions by maintaining fully equipped SMIF cleanroom environment, 100% equipment automation and proven wafer-manufacturing processes.

We're looking for innovative, passionate, and talented people like you to join our team.

We’re searching for an Engineer/ Senior Engineer to be part of our Product Engineering Department diverse team of talent.

What you will be working on:

• Identify & resolve Product, Test & Fab-Process related yield limiters in shortest time
• Driver for yield improvement and resolve product yield, quality and reliability issues
• Work with Customers/Mother Fab on the DfM related issue.
• Conduct product yield analyses to identify root cause of wafer sort and final test failures
• Set up fault diagnostic capabilities for yield improvement
• Identify yield & PCM parameters, inline parameters that correlate to eSort yield by data analytic and automation
• Embark and explore new techniques in productivity improvement projects, including to identify and define AI/ML requirements and use-case for yield improvement
• Deploy and fan-out newly introduced AI-powered use-case across whole PE department
• Develop and implement improvement to enhance data accuracy and response time
• Work with IT department to maintain clean, organized datasets for validation and model training

More about you:

• Master/bachelor's degree in electrical / Electronic Engineering or Science in Physics
• 2 – 8 years product and/or test engineering, failure analysis or process-integration experience
• Experience in Fab process, yield engineering or design will be an added advantage
• Opento entry-level

• In depth knowledge of semiconductor device physics, electrical & electronics engineering fundamentals & wafer fabrication processes

• Familiar with product yield big data management and modelling
• Proficiency with data visualization tools (Power BI, Tableau, SemiTronix, AI/ML)
• Strong understanding of AL/ML technologies using LLM, RAG, vector database, prompt engineering or AI-agents in solving product-yield
• Good interpersonal and communication skills
• Strong analytical & problem-solving skills
• Good interpersonal and communication skills

SSMC is firmly committed to upholding equal employment opportunities for all individuals. We strictly adhere to the Tripartite Guidelines on Fair Employment Practices (TGFEP), the Singapore Food Safety and Security Act 2025 (FSSA 2025), and the Singapore Code of Advertising Practice. All qualified applicants will receive non-discriminatory consideration for employment on the basis of merit and regardless of age, race, gender, religion, marital status and family responsibilities, or disability, or any other attributes as protected by the relevant laws.