Senior - Principal Engineer, Semiconductor Data Analytics

Search Staffing Pte Ltd; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Search Staffing Pte Ltd in Singapore is seeking a Senior/ Principal Engineer to lead semiconductor data analytics efforts, focusing on silicon performance, yield, and mass-production readiness.

You will build analytics platforms and collaborate with Design, Product Engineering, Test Engineering, and manufacturing teams to translate data into actionable improvements for IC development and production.

Qualifications

• Degree or postgraduate in Electrical/Electronics, CS, Data Science, or Statistics.
• Senior: 5+ years in relevant field; Principal: 8+ years.
• Semiconductor industry experience is essential.
• Hands-on data analytics on IC design, silicon performance, yield, reliability, or manufacturing data.
• Proficiency in Python, SQL, JMP, Power BI, Tableau, or Excel/VBA; Databricks a plus.

Responsibilities

• Develop advanced data analytics methods to understand chip performance, identify trends, and generate insights for IC design and product improvements.
• Analyse semiconductor manufacturing and test data to understand yield losses and improve product quality and reliability.
• Develop statistical analysis and screening methods to identify outliers, detect issues, and reduce defective chips reaching customers.
• Develop and manage analytics platforms, dashboards, and automated reporting for engineers.
• Work with Design, Product Engineering, Test Engineering and manufacturing partners to turn data insights into actionable improvements for mass production.

Skills

Data analytics

Problem-solving

Collaboration

Analytical thinking

Education

Electrical/Electronics Engineering; Computer Science; Data Science; Statistics degree

Tools

Python

SQL

JMP

Power BI

Tableau

Excel/VBA

Databricks

Job description

Join a global automotive technology company developing next-generation semiconductor solutions. You will be in charge of developing advanced semiconductor data analytics capabilities to understand silicon performance, yield, and product readiness for mass production.

Senior/ Principal Engineer, Semiconductor Data Analytics

Job Description

• Semiconductor Data Analytics - Develop advanced data analytics methods to understand chip performance, identify trends, investigate failures, and generate insights that support IC design and product improvements.
• Yield & Quality Improvement - Analyse semiconductor manufacturing and test data to understand yield losses, detect abnormal results, identify potential defects, and improve product quality andreliability.
• Data Screening & Performance Analysis - Develop statistical analysis and screening methods to identify outliers, detect manufacturing issues early, and reduce defective chips reaching customers. Experience with PAT, SBL, and clustering analysis is an advantage.
• Analytics Platforms & Data Infrastructure - Develop and manage data analytics platforms, databases, dashboards, and automated reporting solutions to help engineering teams access and analyze semiconductor data efficiently.
• Industrialization & Digitalisation - Work with Design, Product Engineering, Test Engineering, and manufacturing partners to turn data insights into actionable improvements, supporting new product qualification, production ramp-up, and mass production.

Job Requirements

1. Degree or postgraduate qualification in Electrical/Electronics Engineering, Computer Science, Data Science, Statistics, or a related field, with at least 5 years of relevant experience for Senior Engineer or 8 years for Principal Engineer. Prior working experience in the semiconductor industry is essential.
2. Semiconductor Data Analytics- Hands-on experience analyzing IC design, silicon performance, semiconductor test, yield, reliability, or manufacturing data to support product understanding and engineering decisions.
3. Data Analytics Tools &Programming- Proficiency in tools such as Python, SQL, JMP, Power BI, Tableau, or Excel/VBA. Experience with Databricks or other semiconductor analytics platforms is an advantage.
4. Statistical Analysis & Quality Screening- Knowledge of statistical analysis, SPC, outlier detection, PAT, SBL, or clustering techniques. Familiarity with semiconductor test data formats such as STDF/ATDF and ATE test operations is beneficial.
5. Problem-Solving & Collaboration- Strong analytical and troubleshooting skills, with the ability to translate complex data into practical engineering insights. Able to work independently and collaborate with cross-functional teams to improve chip performance, yield and readiness for mass production.