Product Yield Data Analytic and Automation

7 days ago

Tampines, Singapore Advanced Micro Devices, Inc Full time

Overview:
**WHAT YOU DO AT AMD CHANGES EVERYTHING**

We care deeply about transforming lives with AMD technology to enrich our industry, our communities, and the world. Our mission is to build great products that accelerate next-generation computing experiences - the building blocks for the data center, artificial intelligence, PCs, gaming and embedded. Underpinning our mission is the AMD culture. We push the limits of innovation to solve the world’s most important challenges. We strive for execution excellence while being direct, humble, collaborative, and inclusive of diverse perspectives.

AMD together we advance_

**Responsibilities**:
**ROLE DESCRIPTION**

**LOCATION**:Singapore

**CRITERIA**:Current students studying in Universities which are based in Singapore

**INTERNSHIP DURATION**:minimum 20 weeks full time commitment with the option of extending up to a further 12 weeks.

**Intern - Product Yield Data Analytic and Automation**

**WHAT YOU CAN EXPECT TO LEARN**:

- Create/develop tool, script or dashboard for 7nm product yield analysis.
- Gain knowledge in semiconductor ATE test environment which involves product test flow, test methodology and product yield data analysis.
- Experience the challenge of working with large data mining/modelling, database design/maintenance and yield dashboard/report generation.

**PROJECT OVERVIEW**:

- Data extraction from automated test equipment (ATE) and data visualization.
- Interactive dashboard design for yield/quality monitoring and error detection.

**KEY RESPONSIBILITIES**:

- Working with engineers to create script or tool for yield data analysis for productivity and efficiency improvement.
- Create tool/solution for volume data access with optimize performance.
- Ensure high data accuracy/integrity in database.
- Automate yield report/dashboard generation.

**WHO ARE WE LOOKING FOR**:

- Individual who has passion on data analytic and would like to explore data analytic as their career.

**RELEVANT SKILLSETS**:

- Python Programming - must have basic (pandas, numpy, seaborn, matplotlib, plotly).
- Microsoft Excel - must have basic
- Database knowledge - preferred
- Power BI/Tableau/JMP - a plus
- Warehouse knowledge (SQL Server/Snowflake/Microsoft Azure) - a plus

**ACADEMIC CREDENTIALS**:

- Background in Computer Engineering/Data Science/Electrical and Electronic Engineering

LI-CO1

Qualifications:

- Benefits offered are described: _AMD benefits at a glance_._

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