Staff Yield Engineer Data Analytics

ADVANCED MICRO DEVICES (SINGAPORE) PTE LTD; Singapore; On-site; SGD 100,000 - 150,000; Full time

Job summary

A leading semiconductor company in Singapore seeks a candidate to support AI, Graphics, and product development in the Product Yield Engineering team. Ideal applicants will have over 7 years of experience in process technology as well as strong data analysis skills. This role involves cross-functional collaboration, managing product costs, and implementing best practices to enhance manufacturing yield. A Bachelor's degree in a relevant field is required, with advanced degrees viewed favorably.

Qualifications

• Minimum 7 years of experience in process technology or product development.
• Experience with leading-edge foundries and test operations.
• Direct experience in data analysis tools.

Responsibilities

• Conduct data analysis and yield engineering focusing on post-testing data.
• Manage product wafer costs and yield metrics.
• Engage with teams to define program requirements.

Skills

Process technology

Data analysis

SQL

Data science

Machine learning

Scripting

Education

Bachelor's Degree in Electrical Engineering

Bachelor's Degree in Computer Engineering

Bachelor's Degree in Computer Science

Degree in Math, Sciences, or Statistics

Tools

JMP

Job description

THE ROLE

You will be supporting the development and launch of high-quality AI, Graphics, CPU, APU, and custom design products in the Product Yield Engineering team. You will optimize manufacturing costs and ensure timely market delivery. You will be involved in cross‑functional collaboration with engineering, design, foundry, and data teams to resolve complex challenges, accelerate product ramp‑up, and drive ongoing yield improvements.

KEY RESPONSIBILITIES

• Data analysis and yield engineering, focusing on post‑testing data, presentation, and understanding fabrication/testing processes
• Analyzing data across various products
• Manage product wafer costs, including yield and test content, to meet quality and yield targets
• Analyze yield metrics to forecast supply and product performance
• Implement best practices for test and characterization
• Use diagnostics and failure analysis to reduce defects in foundry environments
• Collaborate with internal and external foundry teams to identify and implement process improvements
• Engage with engineering, product teams and business units to define and achieve program requirements for defectivity, power, performance, reliability, and quality

PREFERRED EXPERIENCE

The ideal candidate will have the following minimum skills:

• Minimum 7 years of experience in process technology or product development, preferably with leading‑edge foundries, assembly, and test operations.
• Direct experience in JMP or equivalent data analysis tools.
• Database querying and SQL
• An advanced degree in a related field may reduce the minimum experience requirement

In addition, we value these technical competencies in our team:

• Strong AI‑forward data science skills with experience in big data models, databases, and machine learning
• Strong scripting capability including using AI to extract and automate complex data analysis
• Understanding of functional and design‑for‑test methodologies, structures, and practices
• Technical expertise in the productization of new and advanced technologies
• Knowledge of leading edge (FinFET, GAA, etc.) semiconductor device physics
• Semiconductor manufacturing experience
• Ability to work effectively in geographically distributed and diverse teams

ACADEMIC CREDENTIALS

• Bachelor's Degree in Electrical Engineering, Computer Engineering, or Computer Science, or a related degree in Math, Sciences, or Statistics.