About the role
AI summarisedThe Process Control System (PCS) Engineer is responsible for developing, implementing, and optimizing smart manufacturing solutions to improve product quality, yield, and reliability. This role involves applying statistical process control, advanced process control, fault detection, and AI-assisted tools to drive continuous improvement in semiconductor manufacturing. The engineer collaborates with process teams to develop control strategies, conducts data analysis, and supports equipment integration and supplier management.
IDMOnsiteAssembly & Test
Key Responsibilities
- 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
- Develops, implements and improves smart control solutions for optimum manufacturing performance
- Provides technical advice and support for process control implementation
- Conducts intensive data analysis and modeling to identify sources of variation in the process and translate it into control solutions
- Supports PDE Key Equipment Group (KEG) team in Classification, Characterization and Categorization and defines Data Collection Requirements, performs Integration and Setup Data Collection in Enterprise Equipment Engineering (E3) Environment
- Defines Analysis and setup Requirements and Setup Limits and Out of Control Action Plan (OCAP) and engages in periodic review with PCS team and network on Best Known Material (BKM) practices
- Develops and delivers training on control systems and related topics
- Identifies, diagnoses and resolves assembly process related problems by applying failure analysis, FMEA, 8D or SPC/FDC methodology
- Coordinates and carries out process, equipment and material evaluation/optimization to implement changes at process step
- Leads and participates in yield improvement and cost reduction activities
Requirements
- Strong analytical, logical, and critical thinking skills
- Effective communicator, able to collaborate across all levels
- Growth mindset with a passion for continuous learning
- Internship or experience in the semiconductor industry is a plus
- Demonstrated leadership and a track record of impact are highly desirable
- 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‑sol