Top Engineering Jobs in Singapore

Provide engineering studies for system designs, maintain databases, support equipment start-up, ensure code compliance, and improve operations.

The engineer will design systems for chemical and gas facilities, ensure compliance, support equipment startup, and manage engineering data. Responsibilities include planning layouts, cost estimation, and system troubleshooting.

The technician will maintain the Quality Management System (QMS), assist with audits, handle data analysis, and support continuous improvement initiatives while ensuring compliance with standards.

The Engineer for Product Development will evaluate new equipment, integrate AI tools for efficiency, and manage supplier engagement while supporting continuous improvement initiatives.

The role focuses on designing, developing, and maintaining automation solutions for factory operations, improving productivity and system efficiency through collaboration with teams and data analysis.

As a Validation Engineer, you will develop and execute validation test plans for SSD devices, analyze results, and assist in debugging. You will also perform failure analysis and enhance customer integration experiences.

The role focuses on developing and optimizing semiconductor processes, managing experiments, collaborating across teams, and driving innovations in NAND memory technology.

This role involves developing and implementing strategies to improve RAM quality, manage projects, track performance, and enhance operational efficiency across teams.

The Probe Shift Equipment Technologist ensures stable manufacturing output by providing technical support for Probe equipment, performing maintenance, and driving continuous improvement through data analysis and collaboration with engineers.

Manage end-to-end reliability stress tests and package qualification (thermal cycling, HAST, HTS, CSAM). Maintain process of record and SOP adherence, qualify equipment/layout changes, define process windows and control plans, and drive continuous improvement. Collaborate with Quality, NPI, Product and Equipment Engineering. Analyze process data using statistical and AI-assisted techniques, integrate AI tools responsibly, and ensure compliance with quality, audit, and EHS requirements.