PROBE AREA ENGINEER

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

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. 

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  

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. 

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