Probe Area Engineer

About the role

Micron is hiring a Probe Area Engineer for its Fab 10N/X site. The role works with the PEE, PIE and Planning teams to plan capacity and cycle time for the probe area, supports manufacturing system deployment and training, and drives productivity and quality improvements. It also covers QMS and business process ownership, and includes exploring AI approaches for performance health detection and optimization.

Key responsibilities

• Work with PEE, PIE and Planning to enable short- to mid-term capacity and cycle time planning for the area
• Identify area constraints, set up and implement the best known method to resolve them
• Support manufacturing system deployment, enhancement and training for the shift team
• Drive productivity and quality projects such as cycle time reduction, RPT improvement, operations simplification and man model optimization
• Help resolve gaps between actual and modeled performance
• Set up and maintain automated systems to disposition product, and define streamlined business processes
• Improve robustness of Probe systems and operations, and set up systems for new NAND devices
• Complete learning items within the stipulated time frame
• Explore and develop an agentic AI approach for performance health detection, analysis, prediction and optimization
• Collaborate with production and process teams on digital and AI transformation initiatives
• Ensure QMS/business processes are effective, conform to requirements, deliver intended outputs, and report performance and improvement opportunities to management

Required profile

• Bachelor's degree in Engineering
• Basic understanding of manufacturing concepts (capacity planning, cycle time, operations research, production planning/scheduling)
• Basic understanding of process and equipment knowledge
• Strong analytical and problem-solving skills, able to identify and close efficiency gaps
• Independent, self-motivated, able to multi-task and meet deadlines
• Adaptable to a fast-paced manufacturing environment
• Leadership and communication skills
• Interest in AI applications in semiconductor manufacturing (predictive analytics, automated defect classification, data visualization) preferred
• Knowledge of the semiconductor industry and Micron preferred

Required skills

• Proficiency in Microsoft Office
• SQL, Python and Tableau setup preferred
• Ability to apply baseline digital fluency and role-appropriate AI literacy to use AI tools responsibly