MICRON SEMICONDUCTOR ASIA OPERATIONS PTE. LTD.
Product Engineer (Advance Data Analytics), Heterogeneous Integration Group (HIG), High Bandwidth Memory (HBM) Product Engineering
Visa Source Listed
📍🇸🇬 Singapore📅8h ago
S$60,000—S$82,800/ year
≈ ₹38L — ₹52L per year
Work EthicMachine LearningLiaising with cross functional teamsJMPCollaborationProcess ImprovementCompetitive Business StrategyArtificial IntelligenceComputer StudiesHTML/CSSWafer TestingComputer ScienceStakeholder Engagementglobal product deliveryStatistical Analysis
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Job Description
Our vision is to transform how the world uses information to enrich life for all. Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever.
As a key team member within the HIG HBM Product Engineering Advanced Data Analytics team, you will be spearhead and develop a high-performing team to drive initiatives that significantly enhance yield and quality through advanced data analysis, machine learning, and AI. Your responsibilities will include developing cutting-edge algorithms, creating robust product disposition solutions, and establishing a proactive deviation alert system for yield and quality, enhancing data infrastructure, mentor team members, and fostering innovation to maintain a competitive edge. You will also collaborate with cross-functional teams within and outside of HBM to achieve both strategic and tactical objectives, continually maximizing the effectiveness of the HIG HBM PE organization, focusing on critical KPIs such as quality, cost, cycle time, and scale.
Key Responsibilities
Cumulative Yield Ownership: Be a key member of cross-functional teams, to lead impactful initiatives that significantly enhance overall yield and quality improvement, driving substantial benefits for the organization.
Data Analysis for Yield Improvement and Reliability: Utilize in-house statistical tools, machine learning, and AI for engineering data analysis to enhance yields and reliability, integrating these improvements within the Dispo workflow.
Models/Algorithm Development: Develop state-of-the-art algorithms, including Machine Learning and Deep Learning models, to advance data mining and pattern recognition for quality enhancement, yield improvement, wafer/die level screening and efficiency enhancement.
Data Infrastructure Development: Collaborate with IT, Manufacturing, and Operations teams to develop and enhance the data infrastructure pipeline using cloud technologies to support reliability and engineering assessments.
Cross-Functional Collaboration: Work closely with various cross-functional teams, including Fab, HBM Technology Development, HBM Design, System Development, and Quality/Reliability teams, to ensure the holistic development and successful shipping of end products.
Promotion of Innovation: Promote innovation and drive changes that provide a technical advantage over competitors, maintaining the company's competitive edge in the market.
AI/ML Advocate: Collaborate with cross-functional teams to develop, deploy, and validate AI/ML models aimed at enhancing key performance indicators (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.
Demonstrate strong technical skills with a deep understanding of data analytics, and analysis tools such as JMP, Tableau, and Power BI.
Proficiency in programming languages such as 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, including libraries such as TensorFlow, Scikit-learn, and PyTorch.
Excellent communication skills to present findings and insights to non-technical stakeholders.
Strong sense of responsibility and accountability towards assigned role with professional work ethic.
Required to work onsite in Singapore with international travel to Taiwan.