Top Tech Jobs & Startup Jobs in Singapore

Develop and optimize thin film processes for microelectronic devices, support scaling and integration, and mentor junior engineers.

The FE Central Quality Process Engineer will lead new product quality risk assessments and deploy quality control systems while supporting improvements in semiconductor manufacturing processes.

As an Industrial Engineer, you will use analytics and AI tools for capacity analysis, collaborate with teams, and propose strategies to support volume forecasts.

Lead the development and standardization of Manufacturing Engineering metrics, drive continuous improvement, and optimize operations through collaboration and data analysis.

Design and implement cross-platform APIs and test automation for Enterprise SSD validation. Integrate test equipment, define and execute automation strategies, collaborate with cross-functional teams, troubleshoot SSD/software integration, improve validation coverage, and maintain documentation of methodologies and results.

Lead design-rule and PDK deliverables for advanced 3D NAND, manage DRC waivers and mask reviews, drive program execution, collaborate across process integration, yield, QA, and design teams, design test structures, track milestones, and resolve layout- and database-related process issues to enable high-volume manufacturing.

The role involves leading process modules for 3D NAND semiconductor development, defining specifications, resolving issues, optimizing performance, conducting experiments, and coordinating cross-functional teams.

The engineer will enhance manufacturing performance through yield analysis and data analytics, applying knowledge of semiconductor processes to identify and resolve issues.

The Staff Engineer will provide technical expertise in Chemical systems for Semiconductor Manufacturing, ensuring project alignment with standards and leading global initiatives for sustainability and engineering excellence.

The Engineer will develop and test security firmware for SSD products, ensure quality assurance, communicate project statuses, and utilize AI tools to enhance efficiency while collaborating with team members.