Engineering Lead - Data, AI & Digital Manufacturing

Key Responsibility

 

• Lead engineering teams delivering data platforms and AI solutions for manufacturing.
• Design and implement end-to-end data ingestion, transformation, and processing pipelines for high-volume, high-velocity manufacturing data.
• Integrate OT systems (equipment, MES), IoT platforms, and enterprise systems (ERP, PLM, quality systems).
• Architect and manage platforms handling structured and unstructured data, including sensor data, images, logs, and time-series data.
• Develop and deploy AI/ML solutions for yield improvement, predictive maintenance, quality analytics, and operational optimization.
• Leverage cloud platforms to build scalable, secure, and resilient data and AI platforms.
• Drive adoption of Databricks, Snowflake, or hyperscalers data platforms within manufacturing ecosystems.
• Collaborate closely with fabrication, manufacturing, quality, IT, and business teams to translate operational needs into technical solutions.
• Establish engineering best practices for data governance, security, reliability, and scalability.
• Mentor engineers, conduct code and architecture reviews, and build a strong data and AI engineering culture

Role Overview

The Engineering Lead – Data, AI & Digital Manufacturing will play a critical role in designing, building, and leading scalable data and AI platforms that power smart semiconductor manufacturing. This role will drive integration across OT, IoT, and enterprise systems, enabling advanced analytics, AI-driven decision-making, and digital transformation across fab operations.