Yield Optimization Engineer - Defect Reduction

VisionPower Semiconductor Manufacturing Company (VSMC); Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

VisionPower Semiconductor Manufacturing Company Pte Ltd (VSMC) in Singapore seeks a skilled Yield/Defect Engineer to reduce defects, monitor inline performance and champion end‑to‑end yield improvements. You will apply SPC, collaborate with process and engineering teams, and mentor junior engineers while driving data‑driven defect reduction across fab operations.

Ideal candidates hold a STEM degree with 4+ years hands‑on experience using KLA tools, defect metrology and AI‑driven defect

Qualifications

• Bachelor's degree or higher in Electrical & Electronics, Chemical, Materials Science, Physics or related STEM field.
• Minimum 4 years with KLA bright field, Darkfield, eBeam and defect metrology tools in high‑volume fab.
• Experience applying AI/ML for defect classification is preferred.

Responsibilities

• Install, qualify and sustain inline inspection equipment to enhance defect detection.
• Pinpoint defect sources and drive defect reduction roadmap to improve yield.
• Apply SPC to maintain smooth operation and prevent excursions.
• Collaborate with integration and module engineering teams; design experiments; analyze data.
• Lead and train assistant engineers for inline monitoring tasks.
• Report indices in regular customer engagement meetings.
• Innovate workflows and processes to drive manufacturing excellence.

Skills

Data analytics

Defect inspection

Root cause analysis

Statistical process control

Cross‑functional collaboration

Growth mindset

Education

Bachelor's degree in STEM fields

Tools

KLA bright field

Darkfield

eBeam (eScan)

Defect metrology tools

AI/ML modelling

Job description

VisionPower Semiconductor Manufacturing Company Pte Ltd (VSMC) in Singapore seeks a skilled Yield/Defect Engineer to reduce defects, monitor inline performance and champion end‑to‑end yield improvements. You will apply SPC, collaborate with process and engineering teams, and mentor junior engineers while driving data‑driven defect reduction across fab operations.

Ideal candidates hold a STEM degree with 4+ years hands‑on experience using KLA tools, defect metrology and AI‑driven defect