Total 37 job vacancies in Labuhan Batu

• Perform reliability testing to support production excursion evaluations and SIP package qualifications.
• Execute routine reliability monitoring for qualification and mass production, ensure accurate and timely data recording.
• Maintain up-to-date log sheets and documentation for all reliability test activities.
• Ensure full data traceability to support audits, reviews, and compliance requirements.
• Conduct first-level validation and preliminary analysis on reliability test failures.
• Escalate abnormal findings, equipment issues, or test deviations promptly to responsible engineers.
• Operate, monitor, and manage reliability test equipment and chambers (e.g., HAST, Temperature Cycling) in accordance with defined loading plans and procedures.
• Record, compile, and report reliability test results accurately and within defined timelines.
• Communicate effectively with engineers and stakeholders regarding test status, issues, and progress updates.
• Monitor and maintain reliability lab inventory, including test samples, consumables, tools, and equipment.
• Perform periodic inventory checks and ensure inventory records are accurate and up to date.
• Collaborate with requestors on test unit handling, disposition, and status tracking.
• Ensure adherence to laboratory safety guidelines, standard operating procedures (SOPs), and quality requirements.

We are seeking a highly skilled and innovative Staff engineer to lead our technical team in providing memory storage test solutions for new and existing products within a dynamic and high volume manufacturing environment. In this role, you will lead and contribute to the development and implementation of advanced test engineering strategies to ensure product performance, quality and manufacturing efficiency for our cutting-edge storage products. 

ESSENTIAL DUTIES AND RESPONSIBILITIES:

• Act as the primary technical owner for product performance in High Volume Manufacturing.
• Optimize Test Strategies: Design and execute efficient test plans, test time, yield, and quality to meet factory financial goals. Identify cost-effective testing methods through troubleshooting, validation, and continuous improvement.
• Lead and Collaborate on Engineering Solutions: Lead and implement innovative engineering solutions while collaborating with cross-functional teams to ensure project success under competitive timeline.
• Champion Innovation and Cost Efficiency: Collaboratively integrate advanced testing technologies, research, and adopt cost-saving solutions like Test Time Reduction (TTR) and new test platforms, driving CAPEX reduction. Continuously improve test programs and test infrastructure to enhance product quality and reliability.
• Technical Expertise and Support: Provide leadership in electrical failure analysis (EFA), exploring new test method/EFA technique to address RMAs, production, reliability, and DPPM improvement. Analyze test results and deliver reports to stakeholders with actionable insights for improvement.
• Technical Communication and Documentation: Develop and deliver clear, concise technical reports and documentation, including EFA, work instructions, test equipment guidelines, test reports, and specifications.
• NPI Support: Co-lead NPI projects with NPI team, ensuring smooth transfer of test technology from LVM to mass production.
• Knowledge Sharing and Mentorship: Mentor junior engineers, promote best practices, and facilitate knowledge transfer through technical training.

We are seeking a highly skilled and innovative engineer to lead our technical team in bringing new products to market within a dynamic environment. In this role, you will lead and contribute to the development and implementation of advanced test engineering strategies for our cutting-edge storage products. Below are the key responsibilities:

ESSENTIAL DUTIES AND RESPONSIBILITIES:

• Optimize Test Strategies: Design and execute efficient test plans, test time, yield, and quality to meet factory financial goals. Identify cost-effective testing methods through troubleshooting, validation, and continuous improvement.
• Lead and Collaborate on Engineering Solutions: Lead and implement innovative engineering solutions while collaborating with cross-functional teams to ensure project success under competitive timeline.
• Champion Innovation and Cost Efficiency: Collaboratively integrate advanced testing technologies, research, and adopt cost-saving solutions like Test Time Reduction (TTR) and new test platforms, driving CAPEX reduction. Continuously improve test programs and test infrastructure to enhance product quality and reliability.
• Technical Expertise and Support: Provide leadership in electrical failure analysis (EFA), exploring new test method/EFA technique to address RMAs, production, reliability, and DPPM improvement. Analyze test results and deliver reports to stakeholders with actionable insights for improvement.
• Technical Communication and Documentation: Develop and deliver clear, concise technical reports and documentation, including EFA, work instructions, test equipment guidelines, test reports, and specifications.
• NPI Support: Lead NPI projects, ensuring smooth transfer of test technology to mass production.
• Knowledge Sharing and Mentorship: Mentor junior engineers, promote best practices, and facilitate knowledge transfer through technical training.
   

We are looking for a curious and motivated Junior Data Management Engineer with foundational experience in machine learning, Computer Vision and GenAI  to join our growing data team. This role is perfect for someone early in their career who is eager to contribute to data engineering tasks while gaining hands-on exposure to machine learning workflows. You'll help ensure data pipelines are optimized for analytics and ML model development, supporting both operational and strategic decision-making. 

ESSENTIAL DUTIES AND RESPONSIBILITIES:

• Work with multiple stakeholders to identify, diagnose and resolve manufacturing process related problems such as quality excursions, manufacturing excellence and cost improvement. 
• Apply computer vision algorithms to inspect production lines for defects, improve yield, and enhance overall quality control. Leverage techniques such as object detection, image segmentation, and defect localization to identify issues early in the manufacturing process. 
• Build, train, and validate machine learning models to address complex manufacturing challenges, such as defect detection, process optimization, and performance prediction. 
• Able  to deploy trained models into production environments, including APIs, edge devices, or embedded systems. Ensure seamless integration with manufacturing systems and establish real-time monitoring for model performance. 
• Design and develop scalable GenAI applications using LLMs tailored to manufacturing use cases.

We are seeking a motivated and structured IT Project Lead to join our dynamic logistics team.

System & Application Ownership

• Act as the Key User / System Owner for critical logistics IT systems, including:
  • SAP S/4HANA (with a focus on MM, SD, WM/EWM modules)
  • Warehouse Management Systems (EWM)
  • Key Interfaces (e.g., ASN/EDI, MES integration, scanners, automation systems)
• Ensure the system availability, stability, and performance required for seamless logistics operations.
• Manage and oversee system master data governance, including material, vendor, storage location, and batch information.

Incident & Problem Management

• Lead first-level and second-level support for all logistics IT incidents and problems.
• Coordinate with internal and external partners to ensure issues are resolved efficiently, including:
  • Central IT (global support teams)
  • External vendors (e.g., SAP, WMS, and automation suppliers)
• Ensure timely resolution of all issues to prevent production disruption and line-down risks.

Process Digitalization & Continuous Improvement

• Drive digitalization initiatives within the logistics department, such as creating paperless processes and integrating automation.
• Analyze and optimize system usage to enhance operational efficiency.
• Implement standardized solutions and best practices across all sites.

Interface & Integration Management

• Monitor and maintain all critical system interfaces, including:
  • ASN / EDI integration with suppliers (e.g., Amkor, Advantek).
  • Integration with MES / Production systems.
  • Integration with forwarders and logistics service providers.
• Ensure absolute data consistency across all integrated systems.
• Support the setup, testing, and deployment of new interfaces as required.

We are looking for a detail-oriented and proactive Logistics Planner to join our team. 

What You Will Do:

• Align Demand & Supply: Translate customer forecasts into concrete logistics requirements, planning inbound raw material arrivals and outbound delivery schedules.
• Production Planning: Secure raw material availability to prevent production line-down situations and plan replenishment schedules that support optimized production utilization.
• Inventory Strategy & Management: Define and manage key inventory parameters, including safety stock levels, reorder points, and overall replenishment strategies.
• Performance Monitoring: Establish and maintain logistics and production KPI reports, leading and supporting regular performance review meetings to drive continuous improvement.
• Risk & Contingency Planning: Proactively identify potential supply chain risks (e.g., material delays, transport disruptions) and develop mitigation plans to handle emergencies effectively.
• Customs & Compliance: Handle all customs inbound & outbound monthly reporting and ensure adherence to all relevant regulations.
• Data Analysis & Reporting: Utilize tools like SAP, BY, and Power BI to monitor performance and provide management-ready reports on key metrics such as inventory levels and delivery performance.

The Automation & Analytics team is seeking a highly motivated Software & AI Platform Engineer to help drive the next generation of intelligent factory solutions. In this role, you will contribute to the design, development, and evolution of in-house digital platforms that power automation, analytics, and AI-driven operations across semiconductor manufacturing environments.

Beyond traditional software and data engineering, this role focuses on enabling AI capabilities within operational platforms, including intelligent agents, real-time analytics, workflow automation, computer vision, and AI-assisted decision support. You will work closely with cross-functional engineering, manufacturing, automation, and operations teams to build scalable systems that support the Factory of the Future vision.

This position is ideal for individuals passionate about software engineering, AI systems, industrial digitalization, and building impactful technologies that bridge manufacturing operations with advanced analytics and generative AI.

ESSENTIAL DUTIES AND RESPONSIBILITIES: 

• Design, develop, and maintain scalable software platforms supporting factory automation, analytics, and AI applications.
• Build and optimize data pipelines, APIs, and backend services for structured and unstructured manufacturing data.
• Contribute to the integration of AI capabilities into operational platforms, including machine learning, generative AI, intelligent agents, and workflow automation.
• Collaborate with cross-functional stakeholders including engineering, manufacturing, automation, IT, and operations teams to deliver end-to-end digital solutions.
• Develop solutions that support real-time data processing, event-driven architectures, and streaming analytics environments.
• Participate in the development of AI-enabled applications such as conversational assistants, recommendation systems, anomaly detection, computer vision, or predictive analytics solutions.
• Ensure system reliability, scalability, data quality, and security through monitoring, testing, and documentation.
• Support platform interoperability through APIs, microservices, and integration frameworks.
• Contribute to software architecture discussions, technical roadmaps, and continuous improvement initiatives.
• Stay current with emerging technologies in AI, cloud-native systems, industrial automation, and software engineering best practices.