Engineer, Process Engineering

Sandisk; Penang; On-site; MYR 60,000 - 120,000; Full time

Job summary

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.

Qualifications

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

Responsibilities

• 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.

Skills

AOI systems

Machine vision

AI/ML in inspection

DUE/DOE

CAPA

MES/Industry 4.0

Data analysis

Education

Bachelor's Degree in Electrical/Electronic/Mechatronics/Mechanical/ Manufacturing/ Computer Engineering

Master's Degree (added advantage)

Six Sigma Green Belt/Black Belt (preferred)

Tools

Minitab

JMP

Python

SQL

Power BI

Tableau

Job description

Sandisk understands how people and businesses consume data and we relentlessly innovate to deliver solutions that enable today’s needs and tomorrow’s next big ideas. With a rich history of groundbreaking innovations in Flash and advanced memory technologies, our solutions have become the beating heart of the digital world we’re living in and that we have the power to shape.

Sandisk meets people and businesses at the intersection of their aspirations and the moment, enabling them to keep moving and pushing possibility forward. We do this through the balance of our powerhouse manufacturing capabilities and our industry-leading portfolio of products that are recognized globally for innovation, performance and quality.

Sandisk has two facilities recognized by the World Economic Forum as part of the Global Lighthouse Network for advanced 4IR innovations. These facilities were also recognized as Sustainability Lighthouses for breakthroughs in efficient operations. With our global reach, we ensure the global supply chain has access to the Flash memory it needs to keep our world moving forward.

Description

The AOI Engineer is responsible for developing, optimising, maintaining, and improving Automated Optical Inspection (AOI) systems used in manufacturing processes. This role ensures effective defect detection, minimises false calls, improves inspection accuracy, and supports continuous quality improvement initiatives. The engineer collaborates closely with Process, Quality, Manufacturing, Equipment, and Product Engineering teams to achieve yield, quality, and productivity targets.

Essential Duties And Responsibilities

• Develop, optimise, and maintain AOI inspection programs for new and existing products.
• Create and validate AOI recipes, defect libraries, and inspection standards.
• Fine-tune vision algorithms, lighting, and camera settings to maximise defect detection and minimise false calls.
• Support New Product Introduction (NPI) activities and ensure AOI readiness for production ramp-up.
• Troubleshoot AOI-related production, yield, and quality issues.
• Perform root cause analysis and implement corrective and preventive actions (CAPA).
• Analyse defect trends and drive yield, quality, and process improvement initiatives.
• Support preventive maintenance, calibration, and equipment upgrades.
• Develop automated defect classification (ADC) and smart inspection solutions.
• Evaluate and implement AI, Machine Learning, and advanced vision technologies.
• Integrate AOI systems with MES, SPC, and Industry 4.0 manufacturing platforms.
• Generate and analyse AOI performance reports, dashboards, and KPIs.
• Collaborate with Process, Quality, Product, Manufacturing, and Equipment Engineering teams.
• Develop and maintain SOPs, OCAPs, inspection criteria, and engineering specifications.
• Drive continuous improvement, cost reduction, and automation projects.
• Provide technical training, mentorship, and knowledge sharing on AOI systems.
• Work with equipment vendors on machine optimisation, troubleshooting, and new capability development.
• Lead innovation projects to enhance inspection accuracy, efficiency, and manufacturing performance.
• Ensure compliance with quality, safety, and customer requirements.

Qualifications

Required:

• Bachelor's Degree in Electrical Engineering, Electronic Engineering, Mechatronics Engineering, Mechanical Engineering, Manufacturing Engineering, Computer Engineering, or related Engineering disciplines.
• Master's Degree is an added advantage.
• Six Sigma Green Belt/Black Belt certification is preferred.

Preferred

• 2 to 5 years of experience in AOI, Machine Vision, Manufacturing, Process Engineering, or Quality Engineering (Engineer level).
• 5+ years of relevant experience in AOI development and manufacturing support (Senior Engineer level).
• Experience in Semiconductor, IC Packaging, SSD, NAND Flash, Electronics Assembly, SMT, or High-Volume Manufacturing environments.
• Experience with New Product Introduction (NPI), process qualification, and production ramp activities.Proven track record in yield improvement, defect reduction, and process optimisation projects.
• Experience leading cross-functional teams and continuous improvement initiatives is preferred. Knowledges:
• Auto Optical Inspection (AOI) systems and machine vision technology.
• Image processing, pattern recognition, and defect classification techniques.
• AOI recipe development, optimisation, and validation.Optical systems, cameras, lenses, lighting, and inspection methodologies.
• Statistical Process Control (SPC), Design of Experiments (DOE), FMEA, MSA, and Root Cause Analysis.
• Quality management systems and manufacturing process control.
• Semiconductor assembly, SMT, or electronic manufacturing processes.
• Automated Defect Classification (ADC) systems.
• AI/Machine Learning applications in inspection and manufacturing.
• Manufacturing Execution Systems (MES), Industry 4.0, and factory automation concepts.
• Data analysis and visualisation tools such as Minitab, JMP, Python, SQL, Power BI, or Tableau.
• Understanding of SOPs, OCAPs, process documentation, and engineering change management.

Skills

• Strong analytical thinking and problem-solving skills.
• Excellent communication and interpersonal skills.
• Ability to work effectively in a cross-functional and multicultural environment.
• Self-motivated with strong ownership and accountability.
• Good project management, planning, and organizational skills.
• Ability to manage multiple priorities in a fast-paced manufacturing environment.
• Strong presentation and technical documentation skills. Language:
• Good command of written and spoken English.
• Mandarin language proficiency is an added advantage for collaboration with sister plants in Shanghai.

Additional Information

Sandisk thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution.

Sandisk is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at [e-mail] to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.