Data Engineer – Manufacturing & AI Solutions

About the role

As a Data / AI Engineer you will design and develop data, analytics and AI solutions that enable informed decision‑making across manufacturing, test and operations at Teradyne. You will work with cross‑functional teams to turn operational challenges into scalable data pipelines and machine‑learning models that improve visibility, quality and efficiency.

Key responsibilities

• Design, build and maintain scalable data pipelines for manufacturing, test and operational data.
• Establish data schemas, logging practices and data‑quality processes to support reliable analytics and AI applications.
• Create analytics‑ready datasets and reporting layers for operational monitoring and decision‑making.
• Develop and maintain dashboards and self‑service analytics tools using SQL and BI platforms such as Power BI.
• Collaborate with Operations and Engineering teams to gather requirements and deliver sustainable data solutions.
• Build pipelines for training, evaluating and deploying machine‑learning models.
• Apply machine‑learning techniques to use cases like anomaly detection, pattern recognition and predictive insights.
• Define evaluation metrics, validation approaches and monitoring strategies to ensure solution value.

Required profile

• B.S. in Computer … (as stated in the posting).

Required skills

• SQL
• Power BI (or similar BI platform)
• Machine Learning techniques
• Data pipeline development