RDA Process Engineer – Real-Time Analytics & AI

1100 Micron SemiAsiaOP Pte Ltd

Singapore

On-site

SGD 45,000 - 65,000

Full time

6 days ago

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Job summary

Micron Technology, Inc. in Singapore is hiring a Metro Real-time Defect Analysis (RDA) Process & Equipment Engineer to develop, deploy, and sustain RDA capabilities across advanced packaging and NPI manufacturing, focusing on AI-assisted monitoring, SPC/FDC, and tool stability.

You will collaborate with Process, Equipment, NPI, Automation, and IT teams to drive continuous improvement, support NPI to ramp transitions, and deliver scalable monitoring strategies for high-volume production.

Qualifications

Bachelor’s degree in engineering (Chemical, Materials, Electrical, Mechanical, Mechatronics, Industrial, or related discipline).
0-2 years of experience in semiconductor manufacturing, advanced packaging, process engineering, equipment engineering, or RDA/automation roles.
Experience supporting NPI, pilot lines, or early production ramps preferred.
Understanding of semiconductor equipment systems, process control concepts, and manufacturing variability.
Hands‑on experience with SPC/FDC, RDA platforms, or manufacturing data systems preferred.

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.
Identify, Select, and Deliver RDA Solutions to Support Process and Equipment Performance
Develop and sustain RDA monitoring strategies aligned to advanced packaging process requirements and equipment behavior
Translate process and equipment knowledge into effective SPC, FDC, and RDA rules, alarms, and diagnostics
Identify equipment-related process sensitivities, interactions, and failure modes, particularly during NPI and early ramp
Drive improvements in tool stability, repeatability, and process window control through data-driven insights
Support deployment and tuning of new RDA capabilities, scripts, dashboards, and automation logic for new tools and package types
Ensure monitoring strategies evolve appropriately as NPI transitions to HVM
Support Process and Equipment Readiness for NPI, Pilot, and Ramp Activities
Partner with Process and Equipment Engineers to support tool bring-up, qualification, and stabilization using RDA insights
Ensure critical process and equipment parameters are monitored effectively during NPI and pilot phases
Provide technical input to NPI readiness reviews, risk assessments, and ramp decision checkpoints
Support rapid root cause analysis and corrective actions for equipment- or process-driven excursions
Validate monitoring coverage and effectiveness for new equipment platforms and process flows
Drive, Improve and Maintain Equipment and Process Performance Metrics
Analyze equipment and process performance metrics such as availability, stability, excursion rate, and recovery effectiveness
Use RDA and manufacturing data to identify chronic issues, systemic gaps, and improvement opportunities
Support MTTR reduction, tool performance optimization, and process capability improvement initiatives
Provide data-driven recommendations to improve equipment reliability and process robustness
Ensure accurate documentation and traceability of issues, actions, and improvements
Collaborating on Continuous Improvement and Standardization
Work closely with Site and Global RDA teams to standardize monitoring approaches across tools, processes, and sites
Collaborate with Equipment, Process, and NPI teams on continuous improvement projects and technology transitions
Provide technical guidance on RDA best practices from a process and equipment perspective
Participate in lessons learned, best practice sharing, and knowledge transfer activities
Support audits, technical reviews, and assessments with objective data and analysis