Top Tech Jobs & Startup Jobs in Singapore

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 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.

Lead Singapore FE Ops finance forecasting, budgeting, and variance analysis. Serve as liaison to executive teams, direct strategic forecast analyses, optimize systems/processes, and manage a finance team to meet corporate financial objectives and compliance requirements.

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.

Manage, maintain, and optimize critical database systems (SQL Server, Oracle). Perform installs, patches, backups, access control, monitoring, performance tuning, incident/change/problem management, on-call support, capacity planning, automation, reporting, and collaborate with global teams and site stakeholders.

Lead data-driven process and test integration initiatives to improve high-value-bits yield (PG2+). Develop models and monitoring for tool performance, equipment prognostics, and test optimization. Prototype solutions with cross-functional teams, deploy best-known-methods to production, and integrate AI-assisted tools to drive continuous improvement and operational excellence.

Lead definition, development, and delivery of Industry 4.0 smart manufacturing products. Own product roadmap, gather and prioritize requirements, coordinate engineering, data science, and operations, deploy data-driven solutions, ensure data quality, build UI visualizations, and scale standardized tools and processes across global sites.