Engineer, Process Engineering

Sandisk; George Town; On-site; MYR 90,000 - 150,000; Full time

Job summary

Sandisk is seeking a Virtual Factory Engineer in Penang to develop, support, and optimize Virtual Factory systems for semiconductor manufacturing across multiple sites. You will collaborate with sister plants in Shanghai and contract manufacturers to standardize solutions and drive performance improvements.

The role focuses on real-time data analysis, dashboards, MES integration, and ongoing digital transformation to enhance efficiency and uptime in a global manufacturing environment.

Qualifications

• Bachelor’s degree in engineering or related field.
• 3–5 years in semiconductor/manufacturing automation.
• Experience with global manufacturing teams preferred.
• Strong knowledge of MES, FA, and data analytics.

Responsibilities

• Develop, implement, and maintain Virtual Factory systems across multiple sites.
• Collaborate with sister plants in Shanghai and contract manufacturing partners.
• Monitor, analyze, and optimize manufacturing performance using real-time data.
• Drive digital transformation integrating MES, IIoT, and smart manufacturing.
• Design and enhance dashboards, KPIs, and reporting tools.

Skills

Analytical thinking

Problem solving

Communication skills

Cross-functional collaboration

English proficiency

Mandarin advantage

Education

Bachelor's degree in Engineering

Master's degree (advantage)

Tools

MES

Factory Automation

Data analytics

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 Virtual Factory Engineer is responsible for developing, supporting, and optimizing Virtual Factory systems to ensure efficient, reliable, and data-driven semiconductor manufacturing operations. This role collaborates closely with sister plan in Shanghai and contract manufacturing to improve factory performance, productivity, equipment utilization, and manufacturing efficiency through digital transformation, automation, and advanced data analytics.

Essential Duties And Responsibilities

• Develop, implement, and maintain Virtual Factory systems to support semiconductor manufacturing operations across multiple manufacturing sites.
• Collaborate with sister plants in Shanghai and contract manufacturing partners to standardize Virtual Factory solutions, manufacturing processes, and best practices.
• Monitor, analyze, and optimize manufacturing performance using real-time factory data, dashboards, and advanced analytics.
• Drive digital transformation initiatives by integrating automation, Manufacturing Execution Systems (MES), Industrial Internet of Things (IIoT), and smart manufacturing technologies.
• Design, develop, and enhance data visualization dashboards, KPIs, and reporting tools to improve operational decision-making.
• Perform root cause analysis on manufacturing issues using statistical methods and data analytics and implement effective corrective and preventive actions.
• Collaborate with Process, Equipment, Manufacturing, Quality, IT, and Automation teams to identify and implement continuous improvement opportunities.
• Validate and troubleshoot Virtual Factory applications, ensuring system stability, accuracy, and high availability.
• Coordinate system upgrades, software releases, and change management activities while minimizing manufacturing disruptions.
• Participate in cross-functional problem-solving teams to improve manufacturing stability, productivity, and operational excellence.
• Evaluate emerging technologies and recommend innovative solutions to enhance factory automation and digital manufacturing capabilities.
• Support global manufacturing initiatives by sharing knowledge, best practices, and technical expertise across worldwide manufacturing sites.
• Perform other duties and special projects as assigned by management.
• Able to work independently with less supervision.
• Able to lead the team using root cause analysis techniques to solve complex problem with/without internal data.
• Pro-active applying new methods or approaches under minimal supervision.
• Creative in leading executing projects and any others related activities as directed by supervisor.

Qualifications

• Bachelor's Degree in Electrical Engineering, Electronics Engineering, Computer Engineering, Manufacturing Engineering, Industrial Engineering, Mechanical Engineering, Computer Science, Information Technology, Data Science, or a related engineering discipline.
• Master's Degree is an added advantage. Experience
• Minimum 3-5 years of experience in semiconductor manufacturing, factory automation, manufacturing systems, or Virtual Factory environment.
• Experience working with sister plants, global manufacturing teams, or contract manufacturing partners is preferred.
• Experience supporting high-volume semiconductor manufacturing operations is an advantage. Technical Knowledge
• Strong understanding of semiconductor manufacturing processes and factory operations - SIP and SSD.
• Good knowledge of Manufacturing Execution Systems (MES), Factory Automation (FA), and Manufacturing Intelligence platforms.
• Understanding of Statistical Process Control (SPC), Overall Equipment Effectiveness (OEE), Yield Improvement, and Continuous Improvement methodologies.
• Familiarity with Lean Manufacturing, Six Sigma, and Problem-Solving methodologies (8D, DMAIC, PDCA, Fishbone, 5 Why).

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.

Preferred

• Experience with AI, Machine Learning, or Predictive Analytics in manufacturing
• Experience with Digital Twin or Virtual Factory implementation.
• Knowledge of semiconductor manufacturing equipment and factory automation systems.
• Certification in Lean Six Sigma Green Belt/Black Belt, PMP, Agile, or Data Analytics is an added advantage.
• Experience supporting global manufacturing digital transformation initiatives.

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.