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Responsibilities and Tasks
Work with PEE, PIE and Planning team to enable short to mid-term capacity and cycle time planning for the area to meet Business Plan
Identify area constraints, establish and implement best known method to resolve them
Work with relevant cross functional teams in building the infrastructure and fan out to the shift team to run the area more effectively, i.e manufacturing system deployment, enhancement, and training
Drive productivity and quality improvement projects, such as cycle time reduction, RPT improvement, operations simplification, man model optimization, etc
Participate in resolving gaps in actual vs modeled performance
Set up and maintain automated systems to disposition product
Define and streamline business processes at Probe to improve coordination across multiple teams
Improve robustness of Probe systems and operations
Perform system setup to support new NAND devices at Probe
All team members are required to complete their learning items within the stipulated time frame
Explore and develop agentic AI approach to plan to performance health detection, analysis, predict, and optimize performance.
Maintain close communication and collaboration with production and process collaborators to achieve strategic business objectives, including alignment on digital and AI transformation initiatives.
For business process and/or QMS component that one is responsible or accountable for:
ensuring the QMS/business process that is effective and conforms to requirements
ensuring that the processes are delivering their intended outputs
reporting on QMS/business process performance and opportunities for improvement to management
ensuring the promotion of internal and external customer focus throughout the organization
ensuring the maintenance of the integrity of the QMS/ business process when changes are planned and implemented.
ensuring customer requirements are met
Requirements :
Bachelors Degree in Engineering
Basic understanding of manufacturing concepts (capacity planning, cycle time, operations research, factory physics, production planning/scheduling, etc)
Basic understanding of process/equipment knowledge
Strong analytical and problem solving skills with the ability to identify and close inefficiency gaps
Proficient in Microsoft office skills
Independent and self-motivated
Ability to multi-task, work efficiently, and complete the assigned tasks within designated timeline
Adaptive to change and challenge in high pace manufacturing environment
Strong leadership and communication skills
Understanding or interest in AI applications in semiconductor manufacturing, such as predictive analytics, automated defect classification, or data visualization is preferred.
Proficient in SQL, Python and tableau setup is preferred
Interest in and knowledge of the semiconductor industry and Micron is preferred
Embody Micron's core values:
Customer Focus - Deliver excellence and value
People - Respect, develop, and empower others
Innovation - Drive continuous improvement and breakthrough thinking
Tenacity - Show grit and determination
Collaboration - Build trust and foster teamwork
Maximizes yield by working on tools, the process, or wafer fabrication recipes. Troubleshoots wafer fabrication problems and performs root cause analysis. Works with other process areas to understand and control process deviations. Long-term investigation of defect issues may require extensive work with shift engineering and other functional areas. Evaluates products to ensure they meet the required design and performance specifications. Conducts research to assess process adjustment requirements and recommends process improvements or equipment changes needed to efficiently manufacture new product or part types.
Job ID: 143956093