Total 8 process development engineer job vacancies in BATU PAHAT

As a Business Process Management (BPM) Specialist at SanDisk, you will support the analysis, documentation, and improvement of business processes across Global Operations. Working closely with cross-functional teams, you will assist in identifying inefficiencies, analyzing data, and helping to implement data-driven solutions that improve workflow efficiency and support decision-making.

This role provides an excellent opportunity to gain hands-on experience in business process optimization, data analytics, report automation, and digital transformation initiatives. You will work alongside experienced professionals and contribute to projects that drive operational excellence through continuous improvement and scalable process design.

ESSENTIAL DUTIES AND RESPONSIBILITIES:

• Conduct business process mapping and assessments to identify gaps and areas for improvement in current workflows.
• Lead projects requiring coordination and management of global resources, ensuring transparency and timely delivery of project milestones.
• Collaborate closely with business units to ensure cross-functional project progress aligns with scope, timeline, and original ROI expectations.
• Assist in documenting and analyzing business processes to identify areas for improvement.
• Contribute to the creation of business requirement documents, test cases, and proof-of-concept efforts.
• Support the development of dashboards and reports using tools like Power BI, Tableau, or Spotfire.
• Help gather and analyze operational data to support business decision-making.
• Participate in automating manual processes and reports to improve efficiency and accuracy.
• Collaborate with senior analysts and IT teams to support the rollout of new process and data solutions.
• Promote a continuous improvement mindset by applying lean and agile methodologies and deploying advanced analytics solutions.

We are seeking a highly skilled and innovative senior 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.

ESSENTIAL DUTIES AND RESPONSIBILITIES 

In this position, you will work in the Material Engineering team within the Packaging R&D organization who owns and deploys best-in-class material engineering solutions to the top-edge product and technology development across advanced semiconductor packaging, flash memory product and host levels. Your essential duties and responsibilities include:

• Drive advancement in packaging materials by addressing material-related design and process challenges. Develop solutions to support next-generation package requirements, including smaller form factors, thinner die, higher interconnect density, increased power, and enhanced reliability.
• Lead the evaluation, development, and qualification of advanced packaging materials for both product development and high-volume manufacturing. Ensure compliance with industry standards and sustain high material quality to enable reliable, high-yield, and cost-efficient manufacturing.
• Responsible for material characterization, lab testing, and design of experiments (DOE) to simulate manufacturing processes and use-condition failure. Analyze thermal, mechanical, and environmental performance to ensure materials meet reliability and performance targets.
• This position will interface with package and product design (in particular, thermal and mechanical), reliability, failure analysis, assembly R&D, and process teams to define material requirements and solutions. Collaborate with suppliers to develop, optimize, and qualify materials for successful production integration.

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.

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.

As a Test Engineer - Process, you will lead the Project improvement in Burn In area, and support execution and manufacturing issues related to Test Process, and continue improve manufacturing issues with new ideas from time to time through close collaboration across teams and disciplines. In addition, you'll drive Test Process improvements to make our systems more robust and scalable via systematic and proper tools.

ESSENTIAL DUTIES AND RESPONSIBILITIES:

• Own and sustain burn-in manufacturing processes to ensure stable production performance.
• Monitor burn-in process health, yield trends, uptime, and quality indicators.
• Analyze yield excursions, failures, and process deviations using data-driven methodologies.
• Lead root cause analysis (RCA) and corrective/preventive actions (CAPA).
• Drive continuous improvement initiatives to improve burn-in efficiency, reliability screening effectiveness, and cost reduction.
• Provide timely disposition and technical support for production issues impacting shipment and manufacturing flow.
• Support lot handling, disposition decisions, and recovery actions during abnormal events.
• Support qualification and release of new products into burn-in manufacturing.
• Partner closely with product managers, NPI engineers, Assembly engineers, Manufacturing supervisor and QA to scope, plan, design, and build new features as well as maintain existing functionality.
• Generate and maintain SOPs, OCAPs, FMEA, control plans, and engineering documentation.
• Ensure compliance with manufacturing standards, ESD requirements, and quality management systems
• Participate in audits and customer quality reviews as required.
• Leverage your experience and knowledge to grow your teammates’ technical breadth and depth through direct coaching and mentoring