Staff Yield Engineer Data Analytics

ADVANCED MICRO DEVICES (SINGAPORE) PTE LTD; Greater London; On-site; GBP 70,000 - 90,000; Full time

Job summary

A leading semiconductor manufacturer seeks an experienced professional in Product Yield Engineering to support the development of high-quality AI and Graphics products. The candidate should have at least 7 years of experience in process technology and product development, including strong data analysis and program management skills. Team collaboration is essential, as you will work across engineering, design, and foundry teams to enhance product yield and reduce defects. An educational background in Electrical Engineering, Computer Engineering, or Computer Science is preferred.

Qualifications

• Minimum 7 years of experience in process technology or product development.
• Direct experience in JMP or equivalent data analysis tools.
• Understanding of functional and design-for-test methodologies.

Responsibilities

• Support development and launch of AI, Graphics, CPU products.
• Conduct data analysis and yield engineering.
• Collaborate with cross-functional teams to resolve challenges.

Skills

Data analysis

Process technology

Product development

Database querying

Machine learning

Scripting capabilities

Education

Bachelor's Degree in Electrical Engineering

Bachelor's Degree in Computer Engineering

Bachelor's Degree in Computer Science

Tools

JMP

SQL

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.