Senior Engineer, STPG PE NAND

What You'll Do

• 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.
• 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 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 request assistance with the application process and/or for reasonable accommodations, please contact hrsupport_sg@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.
• AI alert: Candidates are encouraged to use AI tools to enhance their resume and/or application materials.
• However, all information provided must be accurate and reflect the candidate's true skills and experiences.
• Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification.
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