Product Engineer - AI & Data Analytics for Yield

EIRE Systems; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

EIRE Systems in Singapore is seeking a Product Engineer (Advanced Data Analytics) to lead data-driven yield and quality initiatives across cross-functional teams. You will apply ML/AI techniques to engineer data analysis and improve fabrication outcomes.

You will develop models for wafer/die level screening, build data pipelines with cloud tools, and collaborate with Fab, HBM Technology Development, and Quality/Reliability teams to ship robust products.

Qualifications

• Degree in Engineering, CS, Stats, AI, or related field.
• Strong analytics background and data tools expertise.
• Proficiency in Python, R, SQL.
• Experience with ML/DL libraries (TensorFlow, PyTorch).
• Excellent communication with non-technical stakeholders.
• Onsite work in Singapore with travel to Taiwan.

Responsibilities

• Lead yield and quality initiatives across cross-functional teams.
• Perform data analysis using ML/AI to improve yields and reliability.
• Develop ML/DL models for quality, yields, and screening.
• Develop data infrastructure with cloud technologies to support assessments.
• Collaborate with Fab, HBM teams to ship products.
• Promote innovation to maintain competitive edge.
• Advocate AI/ML to improve KPIs (Quality, Cost, Cycle Time, Scale).

Skills

Data analytics

Python

R

SQL

Machine Learning

Communication

Data visualization

Tableau

Education

Bachelor's degree in Engineering

Master's degree in CS/AI

Tools

JMP

Tableau

Power BI

TensorFlow

Scikit-learn

PyTorch

Job description

EIRE Systems in Singapore is seeking a Product Engineer (Advanced Data Analytics) to lead data-driven yield and quality initiatives across cross-functional teams. You will apply ML/AI techniques to engineer data analysis and improve fabrication outcomes.

You will develop models for wafer/die level screening, build data pipelines with cloud tools, and collaborate with Fab, HBM Technology Development, and Quality/Reliability teams to ship robust products.