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Jobs in Singapore   »   Jobs in Singapore   »   Manufacturing / Production Job   »   Manufacturing Technical Support Engineer - Film/ Gas/ Internet of Things
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Manufacturing Technical Support Engineer - Film/ Gas/ Internet of Things

Micron Semiconductor Asia Operations Pte. Ltd.

Micron Semiconductor Asia Operations Pte. Ltd. company logo

Responsibilities and Tasks:

  • Demonstrate the ability & desire to understand material quality as well as the risk mitigation process and strategies IQC/SQE/TD/Sites/Suppliers.
  • Manages Material technical requirements and qualifications alignment with SQE & TD Team.
  • Facilitate and lead activities related to Material Quality improvement with Global Procurement/Global Quality/TD Team on material issue resolution.
  • Build close and effective relationship with TD, Engineering & Manufacturing sites, IQC, Procurement team.
  • Collaborate to provide and improve Manufacturing Material Quality
  • Drive global peer groups to ensure alignment on strategic roadmaps to achieve Area Material Quality objectives; monitor HVM quality performance through key metrics (Eg: %NCD due to materials etc)
  • Ensure best known methods (BKMs) sharing across all sites regardless of technology and/or site mission differences. (Eg: Material BKM Qual, Defense line and Filtration strategy)
  • Collaborate with manufacturing sites to provide inputs on materials requirements, roadmaps, and priorities for Procurement Team to develop Category Strategy development and execution.
  • Engages early TD development for new technology.
  • Collaborate closely with Technology Development Team and Procurement to ensure manufacturing sites material consolidation for competitive material CoO.
  • Work with an international team of data scientists, data engineers, software engineers, process and equipment engineers, process integration engineers, yield enhancement engineers, R&D, etc. in a collaborative manner to enable Smart Manufacturing in Front End Direct Materials that improve quality, improve yield, reduce deviations, improve manufacturing cycle time, reduce cost, extend manufacturing capabilities, etc.
  • Work closely with IT and Supplier on data management, taking an idea, access and prepare necessary data, work with data scientists to create machine learning models, develop it to an application with intuitive user interface, integrate with any pre-existing systems, demonstrate successful use cases and wins, etc.
  • Working with various scientific data such as equipment sensor data and logs, image and various types of signals, manufacturing process data, etc. to extract meaningful information for analytics
  • Involve in Material Cash Cost workshop, and supplier engagement program to achieve Material Cash Cost Value Engineering goals

Project Management:

  • Facilitate and drive global peer groups to ensure alignment on strategy and roadmap to achieve area objectives with clear line of sight to strategic objectives and manufacturing big rocks. Drive alignment where it is known to demonstrate improvement in big rock performance.
  • Prioritize and manage multiple projects based on Fab and corporate objectives.
  • Manage priorities and enhancements to improve business processes and existing systems that are global in nature.
  • Maintain a portfolio of projects that maximizes ROI for the program and supports the Central Team and Corporate roadmaps.

Requirements:

  • Bachelor’s Degree/master’s in engineering or equivalent work experience
  • Experience / understanding of Micron FE manufacturing processes and business processes
  • Excellent analytical, fact-based decision-making skills
  • Excellent interpersonal skills and demonstrated ability to communicate effectively at all levels within the organization
  • Excellent teamwork and collaboration with other groups, internally and externally
  • Proven ability to plan and prioritize goals and objectives
  • Proven ability to multi-task and lead team to meet challenging deadlines and goals
  • Demonstrated ability to measure self and team for efficiency and effectiveness
  • Knowledge on data analytics automation is beneficial

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