Senior Pde (package Development Engineering) Central Ye Engineer

MICRON SEMICONDUCTOR ASIA OPERATIONS PTE. LTD.; Singapore; On-site; SGD 60,000 - 100,000; Full time

Job summary

Micron Semiconductor Asia Operations Pte. Ltd. is seeking a Yield Engineer to analyze and improve memory yield across NPI programs, using Python, SQL, and dashboard tools to translate data into actionable insights.

The role involves collaboration with process, integration, and engineering teams to drive defects root-cause investigations and implement automated reporting pipelines for yield optimization.

Qualifications

• Bachelor's or Master's degree in Electrical/Electronics Engineering/Computer Engineering/Computer Science with 2–5 years of semiconductor experience, focusing on yield analysis, defect/root cause investigation, or data-driven process optimization.
• Proficiency in Python and SQL for data analysis, with hands-on experience building interactive dashboards and visual reports to translate manufacturing data into yield improvement insights.
• Experience building automated reporting workflows, data pipelines, or process automation in a semiconductor environment, enabling cross-functional decision making.
• Ability to apply AI literacy to use AI-enabled tools responsibly for analysis and operational tasks.

Responsibilities

• Account for HBM NPI yields across PWF, Assembly, and test with defect breakdown and PFA submission to track fail modes.
• Own and execute central YE responsibilities for the HBM NPI program, collaborating with PI to identify defects and brainstorm CIP.
• Learn NPI processes, phase gates, and yield best practices; maintain yield dashboards and trackers.
• Analyze yield deviations; detect early impacts and trigger actions; work with PCS to add SPC/FDC charts to YLR dashboards for shift-left monitoring.
• Brainstorm improvement opportunities with other departments and implement solutions including hotspot analytics to enhance automated defense lines.
• Integrate AI-assisted insights into daily work to improve efficiency, quality, and compliance with standards.

Skills

Data analysis

Dashboard design

Cross-functional collaboration

AI literacy

Education

Bachelor's or Master's degree in Electrical/Electronics Engineering/Computer Engineering/Computer Science

Tools

Python

SQL

Pandas

NumPy

Spotfire

Power BI

Tableau

Job description

Job Responsibilities

Yield Loss Accounted For

Account for HBM NPI builds across PWF, Assembly, and test through defect breakdown and PFA submission to understand fail mode

Own and execute assigned Central YE responsibilities for HBM NPI program, work closely with PI to identify defects that is coming from their area to brainstorm for CIP

Learn NPI processes, phase gates, and yield best practices

Assist in maintaining yield dashboards and trackers. Support PI/PE/RDA in identifying and transforming processing data to account/ breakdown a yield loss

Yield Deviation Control

Analyze and report on yield deviation issue and trigger action from PI, PE or RDA

Support block run and partial conversion build yield analysis to early detect any impact on yield

Work closely with PCS team to identify SPC or FDC charts to put into YLR dashboard for shift left monitoring

Yield Improvement Opportunities

Brainstorm with staff from other departments for improvement opportunities and propose to PI

Design and implement new solutions, including hotspot analytics, to improve the effectiveness of the automated defense line system.

Utilize software tool like Auto-diagnostics to find yield improvement opportunities

Integrating Artificial Intelligence

Integrates AI-assisted tools and insights into daily work to improve efficiency, quality, or effectiveness, exercising sound judgement 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

Job Requirements

Bachelor's or Master's degree in Electrical/ Electronics Engineering/ Computer Engineering / Computer Science with 2 to 5 years of experience in semiconductor industry, specifically involving yield analysis, defect/root cause investigation, or data-driven process optimization in advanced memory (HBM, DRAM, NAND) or high-volume semiconductor packaging.

Proficiency in Python (e.g., Pandas, NumPy) and SQL for semiconductor manufacturing data analysis, with hands-on experience developing interactive dashboards and visual reports using tools (including Spotfire and Power BI/Tableau) to translate large manufacturing datasets into actionable yield and process improvement insights.

Demonstrated experience building automated reporting workflows, data pipelines, or process automation solutions using Python scripting or RPA tools within a semiconductor manufacturing environment, with the ability to drive cross-functional decisions across manufacturing, process integration, and engineering teams in the semiconductor industry.

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

People - Respect, develop, and empower others.

Innovation - Drive continuous improvement and breakthrough thinking.

Tenacity - Show grit and determination.

Collaboration - Build trust and foster teamwork.

Customer Focus - Deliver excellence and value