Tapeout Data Engineer: Cloud Automation

GLOBALFOUNDRIES U.S. INC.; Austin (TX); On-site; USD 58,000 - 101,000; Full time

Job summary

GlobalFoundries U.S. Inc.

in Austin, TX is seeking a Tapeout and Mask Operations Engineer with a data focus to partner with a global team to drive next‑generation tapeout workflows and data platforms in a cloud environment. This role blends tapeout domain expertise with data engineering, cloud architecture, and analytics to enable scalable, high‑quality, and automated tapeout operations in AWS, building dashboards and data pipelines that support KPI analysis and end‑to‑end visibility across the

Qualifications

• Bachelor’s degree in electrical and computer engineering or related field.
• Minimum 3.5 GPA and good academic standing.
• Experience architecting automation and KPI metrics using Python, Angular, Quicksight, and PowerApps.
• Knowledge of relational and non-relational databases and cloud data processing.
• Fluency in written and spoken English.

Responsibilities

• Enable scalable EDA functions in a Cloud environment.
• Learn and apply AI/ML and AWS services in tapeout tooling.
• Create data visualizations and tools to view EDA outputs.
• Data analytics on Tapeout KPIs to drive cloud tapeout performance.
• Support customer Tapeouts and fab/start enablement.

Skills

English fluency

Cloud data engineering

KPI metrics

Education

Bachelor’s degree in Electrical and Computer Engineering, Data Science or related field

Tools

Python

Angular

Quicksight

PowerApps

Relational databases

Non-relational databases

JIRA

Git

Jenkins

Job description

GlobalFoundries U.S. Inc.

in Austin, TX is seeking a Tapeout and Mask Operations Engineer with a data focus to partner with a global team to drive next‑generation tapeout workflows and data platforms in a cloud environment. This role blends tapeout domain expertise with data engineering, cloud architecture, and analytics to enable scalable, high‑quality, and automated tapeout operations in AWS, building dashboards and data pipelines that support KPI analysis and end‑to‑end visibility across the