Senior Engineer, STPG PE NAND

MICRON SEMICONDUCTOR ASIA OPERATIONS PTE LTD; Singapore; On-site; SGD 130,000 - 180,000; Full time

Job summary

Micron Technology, Inc. in Singapore is seeking a NAND Reliability Product Engineer to define and safeguard the reliability of NAND Flash products using advanced analytics, AI, and scalable data infrastructure.

You will develop cloud-based data platforms and AI workflows to accelerate engineering decisions and improve product quality. You will work across reliability, data platforms, IT, and quality teams, owning AI-enabled solutions from design to deployment, with a strong emphasis on data

Qualifications

• Bachelor’s degree with more than 5 years of experience in Electrical Engineering, Computer Science, Data Science, Statistics, AI, or related field.
• Strong background in data analytics, AI/ML, or related technical areas.
• Knowledge of semiconductor reliability fundamentals, NAND technology, reliability engineering, and failure analysis.
• Strong Python and SQL programming skills.
• Understanding data cleansing, outlier handling, missing data processing, and scalable data processing.
• Excellent analytical, communication, and presentation skills.
• Demonstrated ownership and ability to work in cross-functional teams.

Responsibilities

• Drive cloud-based data platforms for reliability monitoring and product disposition workflows.
• Design and maintain ETL pipelines pulling data from multiple sources.
• Collaborate with IT and data platform teams to build automated data pipelines.
• Use Python, SQL, BigQuery, PySpark and cloud services to process data and generate insights.
• Translate engineering problems into scalable AI/ML and analytics solutions.
• Develop, evaluate, and deploy AI/ML solutions to improve decision-making and reliability assessments.
• Implement data processing techniques like cleansing, outlier detection, and missing data handling.
• Support deployment, monitoring, and operation of AI/ML in cloud/environments.
• Identify opportunities where GenAI and analytics can boost productivity and outcomes.
• Integrate AI-assisted tools and data-driven insights to improve productivity and quality.
• Promote adoption of AI-enabled solutions and continuous learning.
• Promote adoption of AI-enabled solutions and contribute to a culture of continuous learning, innovation, and operational excellence.

Skills

Data analytics

Python

SQL

AI/ML

Cloud platforms

Data engineering

Cross-functional collaboration

Ownership

Education

Bachelor’s degree

Master’s degree

Tools

BigQuery

PySpark

Cloud services (GCP/AWS/Azure)

Pandas/Scikit-learn/Matplotlib/Plotly

TensorFlow/PyTorch

LLMs / RAG

GCP/AWS/Azure

Team player

Self-driven

Job description

Job Summary

As a NAND Reliability Product Engineer, you will be responsible for defining, assessing, and safeguarding the intrinsic and extrinsic reliability of Micron's NAND Flash products through advanced analytics, large-scale data infrastructure, AI, and engineering innovation. Your responsibilities will include developing scalable data and AI solutions that enable faster engineering decisions, improving product quality, and strengthening reliability risk assessment. Working at the intersection of semiconductor technology, reliability engineering, cloud computing, and AI/ML, you will collaborate closely with other teams like AI, IT, and Quality teams to drive data-driven reliability strategies and prevent customer escapes.

This role offers deep technical ownership at the intersection ofreliability methodologies, analytics platforms, and AI-enabled engineering workflows, with strong visibility across development and manufacturing organizations.

Main Responsibilities

• Drive development and enhancement of cloud-based data platforms that support reliability monitoring, engineering analysis, and product disposition workflows.


• Design, develop, and maintain scalable ETL pipelines for ingesting, validating, transforming, and managing large-scale engineering and manufacturing data from multiple sources.


• Collaborate with IT and data platform teams to establish reliable, automated, and sustainable data pipelines.


• Apply technologies such as Python, SQL, BigQuery, PySpark, and cloud-native services to process large-scale datasets efficiently, perform deep analysis, generate visualizations, and deliver actionable engineering insights.


• Partner with domain experts and cross-functional teams to translate complex engineering problems into scalable AI/ML and analytics solutions.


• Develop, evaluate, and deploy AI/ML solutions to improve engineering decision-making, failure analysis, anomaly detection, and reliability assessments.


• Implement robust data processing techniques such as data cleansing, outlier detection, andmissing datahandling using distributed or large-scale frameworks (e.g.,PySpark,BigQuery).


• Support deployment, monitoring, and operationalization of AI/ML solutions in cloud and enterprise environments.


• Identifyand drive high-impact opportunities where GenAI, machine learning, and analytics can improve engineering productivity and business outcomes.


• Integrates AI-assisted tools and data-driven insights to improve productivity, quality, and operational effectiveness in daily work.


• Promote adoption of AI-enabled solutions and contribute to a culture of continuous learning, innovation, and operational excellence.


• Support customer inquiries andprovidetechnical insightsrelated to product reliability.


• Communicate technical findings, recommendations, and model outcomes clearly to both technical and non-technical stakeholders.

AI 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.

Minimum Required Qualifications/Experience

• Bachelor’s degree with > 5 years or Master’s degree with > 3 years in Electrical Engineering, Computer Science, Data Science, Statistics, Artificial Intelligence, or related discipline.


• Strong understanding of data analytics, AI/ML, or related technical fields.


• Knowledge of semiconductor reliability fundamentals, NAND technology, reliability engineering, and electrical failure analysis methodologies.


• Strong programmingproficiencyin Python and SQL.


• Understanding data engineering concepts, including data cleansing, outlier treatment, missing data handling, and scalable data processing.


• Strong analytical, problem-solving, communication, and technical presentation skills.


• Demonstrated sense of ownership, accountability, and ability to work effectively in cross-functional environments.

Highly Desirable/Preferred skills or experience

• Strong technical foundation in data analytics and visualization, including tools and libraries such as pandas, scikit-learn, matplotlib,plotly, or similar ecosystems.


• Hands-on experience developing and deploying AI/ML systems involving LLMs, including RAG, agenticworkflows, and frameworks such asPyTorchor TensorFlow.


• Familiarity with modern AI coding tools / agentic coding harnesses, such as Claude Code, Roo Code, Cursor, Cline, Windsurf, Gemini CLI, or similar tools.


• Cloud experience with GCP, AWS, or Azure, including deploying ML pipelines in production.


• Experience analyzing large, complex, and heterogeneous datasets from multiple systems and applying sound techniques for data cleansing, outlier handling, andmissing datatreatment.

• Team player and self driver.

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


• Speed – Act with purpose and set the pace

About Micron Technology, Inc.

We are an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich lifefor all. With a relentless focus on our customers, technology leadership, and manufacturing and operational excellence, Micron delivers a rich portfolio of high-performance DRAM, NAND, and NOR memory and storage products through our Micron® and Crucial® brands. Every day, the innovations that our people create fuel the data economy, enabling advances in artificial intelligence and 5G applications that unleash opportunities — from the data center to the intelligent edge and across the client and mobile user experience.

To learn more, please visit micron.com/careers

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

To request assistance with the application process and/or for reasonable accommodations,please contact micron.com

Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards.

Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron.