- 1 NORTH COAST DRIVE North Region (Singapore) Singapore

Working Location
Job Description
Responsibilities
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, we are seeking an experienced individual who has 2 or more years of post Education experience working in in manufacturing, operations, project management, Supply chain, or related field. This role offers a distinctive opportunity to contribute to a highly innovative company that is leading the way in transforming global information usage.
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.
Partners with key team members to develop applications and processes to continuously improve production metrics
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
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
Uses statistical analysis to optimize fab performance metrics and audit manufacturing capacity information
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
Excellent multi-tasking, time-management, organization and prioritization skills
Proven track record to communicate sophisticated analysis in a succinct and actionable manner
Sophisticated skills in Microsoft Office Outlook, Excel and Power Point
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
Knowledgeable in the use of Tools such as Tableau, Power BI, Python, R
Eagerness to learn, grown understanding of semiconductor production floor concepts and operations
Understanding of Manufacturing Science (scheduling, inventory management, capacity planning)
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.
Ability to apply baseline digital fluency and role‑appropriate AI literacy to use AI‑enabled tools responsibly and effectively for research, analysis, content creation, problem‑solving, operational tasks, and achieving business outcomes
Bachelors Degree in Industrial System/Industrial Engineering, Manufacturing Engineering, Production Operations Management, Supply Chain, or equivalent degrees with minimum 5 years of relevant experience in Semiconductor Operations/Manufacturing field
Masters Degree in Industrial System/Industrial Engineering, Manufacturing Engineering, Production Operations Management, Supply Chain, or equivalent degrees 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.
Experience in using SQL, Tableau, AI tools in semiconductor wafer Fabrication manufacturing process
Important Information
Never provide your bank or credit card details when applying for jobs. Do not transfer any money or complete unrelated online surveys. If you see something suspicious, Report this Job ad.