Snr/Product Engineer (Advance Data Analytics), Heterogeneous Integration Group (HIG), High Ban[...]

Micron Technology, Inc.; Singapore; On-site; SGD 80,000 - 120,000; Full time

Job summary

Micron Technology is seeking a Snr/ Product Engineer (Advanced Data Analytics) in Singapore to lead a high-performing team focused on enhancing yield and quality through advanced data analysis, machine learning, and AI. Responsibilities include developing algorithms, creating disposition solutions, improving data infrastructure, and promoting innovation. Candidates should have a relevant degree and strong technical and communication skills. The role requires onsite work in Singapore and occasional travel to Taiwan.

Qualifications

• Bachelor's or Master's degree in Engineering, Computer Science, Statistics, or related fields.
• Strong technical skills in data analytics and tools like JMP, Tableau, and Power BI.
• Proficiency in programming languages including Python, R, SQL, JavaScript, HTML, and CSS.

Responsibilities

• Lead initiatives with cross-functional teams to enhance yield and quality.
• Analyze engineering data using machine learning and AI.
• Develop algorithms for yield improvement and quality enhancement.

Skills

Data analytics

Machine Learning

AI

Statistical analysis

Programming in Python

Communication skills

Education

Bachelor's or Master's degree in Engineering, Computer Science, Statistics, or related fields

Tools

JMP

Tableau

Power BI

TensorFlow

Scikit-learn

PyTorch

Job description

Snr/ Product Engineer (Advanced Data Analytics)

Heterogeneous Integration Group (HIG) – High Bandwidth Memory (HBM) Product Engineering

As a key team member within the HIG HBM Product Engineering Advanced Data Analytics team, you will spearhead and develop a high‑performing team to drive initiatives that enhance yield and quality through advanced data analysis, machine learning, and AI. Your responsibilities include developing cutting‑edge algorithms, creating robust product disposition solutions, and establishing a proactive deviation alert system for yield and quality, enhancing data infrastructure, mentoring team members, fostering innovation, and collaborating with cross‑functional teams to maximize the effectiveness of the HIG HBM PE organization.

Key Responsibilities

• Cumulative Yield Ownership: Lead impactful initiatives with cross‑functional teams to significantly enhance overall yield and quality.
• Data Analysis for Yield Improvement and Reliability: Use in‑house statistical tools, machine learning, and AI to analyze engineering data and integrate improvements within the Dispo workflow.
• Models/Algorithm Development: Develop state‑of‑the‑art algorithms, including Machine Learning and Deep Learning models, for quality enhancement and yield improvement, wafer/die level screening, and efficiency enhancement.
• Data Infrastructure Development: Collaborate with IT, Manufacturing, and Operations to build and enhance the data infrastructure pipeline using cloud technologies.
• Cross‑Functional Collaboration: Work closely with teams such as Fab, HBM Technology Development, HBM Design, System Development, and Quality/Reliability to ensure holistic product development and shipping.
• Promotion of Innovation: Drive changes that provide a technical advantage over competitors.
• AI/ML Advocate: Develop, deploy and validate AI/ML models to improve KPIs such as Quality, Cost, Cycle Time, and Scale.

Requirements

• Bachelor's or Master's degree in Engineering, Computer Science, Statistics, Artificial Intelligence, or related fields.
• Strong technical skills in data analytics and tools such as JMP, Tableau, and Power BI.
• Proficiency in programming languages including Python, R, SQL, and web application languages like JavaScript, HTML, and CSS for data manipulation and analysis.
• Proficient in statistical analysis, predictive modeling, and machine learning techniques, using libraries such as TensorFlow, Scikit‑learn, and PyTorch.
• Excellent communication skills for presenting findings to non‑technical stakeholders.
• Professional work ethic with strong sense of responsibility and accountability.
• Required to work onsite in Singapore with occasional international travel to Taiwan.

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.