Yield Defect Engineer

VISIONPOWER SEMICONDUCTOR MANUFACTURING COMPANY PTE. LTD.; Singapore; On-site; SGD 70,000 - 100,000; Full time

Job summary

A semiconductor manufacturing company is seeking a skilled professional for defect reduction and yield improvement. Responsibilities include monitoring defect performance, collaborating across teams, and leading engineers. Candidates should hold a relevant degree and possess at least 4 years of experience with advanced defect metrology tools. This role emphasizes analytical skills, teamwork, and the ability to innovate within fast-paced environments.

Qualifications

• Minimum of 4 years of experience in defect metrology tools.
• Relevant experience in auto defect classification through machine learning.
• Skilled in data analytics to drive decision-making.

Responsibilities

• Responsible for defect reduction and monitoring inline defect performance.
• Collaborate with teams to eliminate defect sources.
• Lead and train Assistant Engineers.

Skills

Interpersonal skills

Problem-solving skills

Data Analytics / Intelligence tools

Statistical process control

Communication skills

Education

Bachelor’s degree in Electrical and Electronics Engineering

Chemical Engineering

Materials Science

Physics

Tools

KLA bright field tools

Darkfield tools

eBeam (eScan)

Defect metrology tools

Data Analytics tools (PBI)

Job description

About VSMC

VisionPower Semiconductor Manufacturing Company Pte Ltd VSMC is a joint‑venture 300mm semiconductor wafer manufacturing facility to be built in Singapore. We are looking for committed, resilient and passionate talents to launch a promising future that power the next generation devices and systems. If you share the same passion to pursue excellence, join us to make an impact and be part of something special!

Role Summary

You will be responsible for defect reduction, monitoring inline defect performance and end of line yield, as well as leading yield improvement and inspection methodologies excellence.

Key Responsibilities

• Install, qualify and sustain inline inspection and equipment to continually enhance defect detection capabilities
• Pinpoint potential yield‑limiting defect sources and drive defect reduction roadmap for respective technology, program or related modules to improve production yield
• Utilize statistical process control principles to maintain smooth operation and continually improve to prevent defect induced excursion events
• Actively collaborate with integration, module engineering teams and suppliers to identify and eliminate defect sources; design and conduct experiments, analyze and extract insightful results from complex data sets to implement effective solutions
• Responsible to Lead and Train Assistant Engineers to complete daily routine tasks for inline monitoring
• Regular Customer Engagement meeting to report and drive indices
• Innovate upon existing workflow and processes to drive excellence in manufacturing practices and automation

Education Qualification & Essential Experiences

• A bachelor’s degree or higher in Electrical and Electronics Engineering, Chemical Engineering, Materials Science, Physics, or a related STEM field
• Minimum of at least 4 years of experience in KLA bright field, Darkfield, eBeam (eScan) and defect metrology tools and inline applications of these tools to monitor and detect root causes in a high‑volume advanced manufacturing fab

Preferred Experience

• Relevant experience in application for auto defect classification (ADC) through machine learning and/or AI modelling.
• Highly proficient in Data Analytics / Intelligence tools (PBI) to uncover insights, identify trends to drive decision making.
• Relevant experience to create recipes for all defect inspection tool types (Brightfield, Darkfield).
• Proven experience in designing and developing a comprehensive defect source and tool fingerprint libraries. Skilled in building and refining databases to track and categorize historical cases and generate identifiers from tools for effective troubleshooting.

Key Skills and Attributes

• Good interpersonal and communication skills to work effectively across functions and geographical teams with diverse background
• Strong analytical and problem‑solving skills to resolve complex problems, optimize process and improve business outcomes
• Goal driven and an excellent team player that can work under pressure in a dynamic and fast‑paced environment
• Has a growth mindset, prioritizing adaptability, resilience, innovation, and ongoing learning to support business needs

VSMC promotes diversity and inclusivity in our workforce; and hiring will be conducted in phases