Senior Engineer, STPG PE NAND

1100 Micron SemiAsiaOP Pte Ltd; Singapore; Sur place; SGD 100 000 - 150 000; Plein temps

Résumé du poste

Micron Technology, Inc. in Singapore seeks a NAND Reliability Product Engineer to define and safeguard reliability of NAND Flash products using analytics, data platforms, AI, and engineering innovation.

You will build scalable data solutions and collaborate with AI, IT, and Quality teams to drive data-driven reliability. This role offers technical ownership at the intersection of reliability methodologies, analytics, and AI-enabled engineering workflows, with visibility across development and

Qualifications

• Bachelor’s or Master’s degree in Electrical Engineering, Computer Science, Data Science, Statistics, AI, or related field with relevant experience.
• Strong proficiency in Python and SQL.
• Experience in data analytics, AI/ML, or related fields.
• Knowledge of semiconductor reliability fundamentals, NAND technology, reliability engineering, and failure analysis methodologies.
• Excellent analytical, problem-solving, communication, and technical presentation skills.
• Ability to work effectively in cross-functional environments.

Responsabilités

• Drive development and enhancement of cloud-based data platforms for reliability monitoring, engineering analysis, and product disposition workflows.
• Design, develop, and maintain scalable ETL pipelines for ingesting and managing large-scale data from multiple sources.
• Collaborate with IT and data platform teams to ensure reliable, automated data pipelines.
• Apply Python, SQL, BigQuery, PySpark, and cloud services to process large datasets and generate insights.
• Partner with domain experts to translate engineering problems into scalable AI/ML solutions.
• Develop, evaluate, and deploy AI/ML solutions to improve decision-making and reliability assessments.
• Implement data processing techniques including cleansing, outlier detection, and missing data handling.
• Support deployment, monitoring, and operation of AI/ML in cloud/environments.
• Identify opportunities where GenAI and analytics improve productivity and outcomes.
• Integrate AI-assisted tools to boost productivity, quality, and operations.
• Promote adoption of AI-enabled solutions and continuous learning.

Connaissances

Python

SQL

Data analytics

AI/ML

Communication

Problem solving

Formation

Bachelor's or Master’s degree in related field

Outils

PySpark

BigQuery

GCP

AWS

Azure

Description du poste

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing.

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 of reliability 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, and missing data handling using distributed or large-scale frameworks (e.g., PySpark, BigQuery).
• Support deployment, monitoring, and operationalization of AI/ML solutions in cloud and enterprise environments.
• Identify and 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 and provide technical insights related 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 programming proficiency in 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, agentic workflows, and frameworks such as PyTorch or 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, and missing data treatment.
• Team player and self driver.

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 life for 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 [e-mail]

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.