Senior Engineer, Technology Development Operations Planning

MICRON SEMICONDUCTOR ASIA OPERATIONS PTE. LTD.; Singapore; Presencial; SGD 120.000 - 180.000; Jornada completa

Descripción de la vacante

Micron Semiconductor Asia Operations Pte. Ltd. seeks a SIC Engineer to coordinate, analyze, and optimize performance of new parts in the fab. You will drive data-driven improvements to WIP, cycle time, and capacity, collaborating with multiple teams to deliver top-quality results.

The ideal candidate has a strong background in industrial/manufacturing engineering, statistics, and experience with SQL/Tableau/AI tools to visualize and enhance production metrics.

Formación

• Bachelor’s or Master in Industrial System/Industrial Engineering, Manufacturing Engineering, Production Operations Management, or equivalent.
• Minimum 5 years (or 2 years with a Master) in Semiconductor Operations/Manufacturing.
• Knowledge of wafer fabrication processes: capacity planning, automation, scheduling, efficiency.

Responsabilidades

• Collaborate to improve production metrics and plan for future product introductions.
• Coordinate New Part Introduction (NPI) between teams.
• Develop dashboards and reports to convey fab performance and KPIs.
• Analyze data to optimize WIP, cycle time and priority allocations.
• Integrate AI-enabled insights to improve efficiency and predict issues.

Conocimientos

Analytics

Statistical analysis

Cross-functional teamwork

Data visualization

Educación

Bachelor's or Master in Industrial/Manufacturing Engineering

Herramientas

SQL

Tableau

AI tools

Descripción del empleo

Our vision is to transform how the world uses information to enrich life for all. Micron is growing! Are you interested in a position with an industry-leading semiconductor company with a highly collaborative and dynamic work community? Do you like the idea of working alongside some of the best in the business? Keep reading! At Micron, as SIC Engineer, you will have a vital role in our Technology Development department. You will be in charge of coordinating, analyzing, and optimizing the performance of a developing new part within the fab, aiming for top-notch quality and efficiency. Your engineering and operations expertise will allow you to efficiently implement and improve business processes/Metrics to thrive in a dynamic and goal-oriented industry, with heavy emphasis on cross-collaboration with various teams. This role offers a distinctive opportunity to contribute to a highly innovative company that is leading the way in transforming global information usage.

Responsibilities:

• Partners with key team members to develop applications and processes to continuously improve production metrics
• Collaborate with engineering to plan for future product introduction
• Partners with the area Engineering and Operations teams to keep updated on area issues, priorities and projects
• Communicates' fab performance metrics to large diverse group of customers
• Coordinates New Part Introduction (NPI) between teams
• Sets strategic and tactical plans for Wip In Progress (WIP), Cycle Time (CT), and priority allocations in collaboration with various Engineering teams
• Drives operational planning for critical efforts ensuring we can meet critical timelines.
• Develops standard processes, reports, dashboards, and other data visualizations to convey project status
• Plans, tracks and reports on key lot status
• Uses statistical analysis to optimize fab performance metrics and audit manufacturing capacity information
• Presents findings and recommends solutions to fab performance gaps
• Drives innovation by researching and using new data modeling techniques or tools
• Evaluates and collaborates on scenarios representing changes, performs what if scenarios as needed, and works with Engineering and Operations to understand the impact of the changes
• Innovates and implements best-in-class predictive models and decision tools to address business needs
• Seeks out novel methodologies and tools to better predict and track manufacturing key performance indicators

Successful Candidates should have the following traits:

• Excellent multi-tasking, time-management, organization and prioritization skills
• Dedicated to establishing and maintain effective relationships
• Proven track record to communicate sophisticated analysis in a succinct and actionable manner
• Proven ability to identify, develop, propose, and implement effective plans to drive overall efficiency
• Proven ability to organize and efficiently facilitate meetings and project teams
• Demonstrated analytical problem solving skills with ability to fix complex problems and address root causes
• Solid understanding of statistics, data analysis, and problem solving
• Eagerness to learn, grown understanding of semiconductor production floor concepts and operations
• Thorough and dedicated to achieving outstanding outcomes
• Integrates AI-assisted tools and insights into daily work to improve efficiency, quality, or effectiveness, exercising sound judgment and complying with organizational standards and legal requirements.
• Contributes to a culture of continuous improvement by identifying, testing, and sharing AI-enabled enhancements within one's scope of work.

Education and Experience:

• Bachelors Degree in Industrial System/Industrial Engineering, Manufacturing Engineering, Production Operations Management, Supply Chain, or equivalent with minimum 5 years of relevant experience in Semiconductor Operations/Manufacturing field
• OR Masters Degree in Industrial System/Industrial Engineering, Manufacturing Engineering, Production Operations Management, Supply Chain, or equivalent with minimum 2 years of relevant experience in Semiconductor Operations/Manufacturing.
• Knowledge of the semiconductor wafer Fabrication manufacturing process in regards to capacity planning, automation, scheduling, cycle time and manufacturing efficiency.
• Solid understanding of production line management techniques and theories
• Understanding of Manufacturing Science (scheduling, inventory management, capacity planning)
• Experience in using SQL, Tableau, AI tools in semiconductor wafer Fabrication manufacturing process