The posting
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
