AOI Vision Engineer for Smart Manufacturing

Sandisk

Penang

Presencial

MYR 60.000 - 120.000

Jornada completa

hace 26 horas
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Descripción de la vacante

Sandisk Penang is seeking an AOI Engineer to develop, optimise, and maintain automated optical inspection systems for high-volume electronics manufacturing. You will tune vision, lighting, and camera settings to maximise defect detection while minimising false calls, and support NPI and production ramp-up.

Collaborating with Process, Quality, Manufacturing, and Equipment teams, you will drive yield improvements, create AOI recipes and defect libraries, analyse trends, and implement CAPA.

Formación

  • Bachelor's degree in an engineering discipline relevant to AOI and manufacturing.
  • Master's degree is a plus.
  • Six Sigma Belt preferred.

Responsabilidades

  • Develop, optimise, and maintain AOI programs for new and existing products (defect detection).
  • Create and validate AOI recipes, defect libraries, and inspection standards.
  • Fine-tune vision algorithms, lighting, and camera settings to maximise detection and minimise false calls.
  • Support NPI activities and ensure AOI readiness for production ramp-up.
  • Troubleshoot AOI-related production, yield, and quality issues.
  • Perform root cause analysis and implement CAPA.

Conocimientos

AOI systems
Machine vision
AI/ML in inspection
DUE/DOE
CAPA
MES/Industry 4.0
Data analysis

Educación

Bachelor's Degree in Electrical/Electronic/Mechatronics/Mechanical/ Manufacturing/ Computer Engineering
Master's Degree (added advantage)
Six Sigma Green Belt/Black Belt (preferred)

Herramientas

Minitab
JMP
Python
SQL
Power BI
Tableau

Descripción del empleo

Sandisk Penang is seeking an AOI Engineer to develop, optimise, and maintain automated optical inspection systems for high-volume electronics manufacturing. You will tune vision, lighting, and camera settings to maximise defect detection while minimising false calls, and support NPI and production ramp-up.

Collaborating with Process, Quality, Manufacturing, and Equipment teams, you will drive yield improvements, create AOI recipes and defect libraries, analyse trends, and implement CAPA.

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