Top Engineering Jobs in Singapore

Lead PAC business processes and projects at Micron, aiming for best-in-class performance, while supporting global teams and driving continuous improvements.

The Global FE Planning Modeling Engineer optimizes manufacturing processes, analyzes capital impacts, and leads network tool utilization strategies within a multi-functional team environment.

The Shift Equipment Engineer is responsible for improving equipment efficiency, providing manufacturing support, leading continuous improvement projects, and conducting training in a semiconductor environment.

The Staff Engineer will lead chemical system design for construction projects, provide technical support, and align operational initiatives across regional facilities. Responsibilities include driving operational excellence, improving utility quality, and implementing maintenance programs while collaborating with various teams to achieve sustainability goals.

The Senior Manager will develop global TIQ strategy, lead materials cost engineering, manage TIQ programs, and mentor teams to optimize semiconductor manufacturing costs and processes.

The Manufacturing Engineer is responsible for production planning, ensuring on-time delivery, driving continuous improvements, and maintaining safety standards.

Responsible for overseeing multiple construction projects, ensuring timely delivery, risk management, communication among teams, and stakeholder management as a Director for Global Facilities & Construction.

The Senior Manager oversees construction projects in Singapore, leading teams, managing scope, schedule, and costs while coordinating with various stakeholders to ensure project execution and resolution of conflicts.

Intern will analyze variability and predict failures using data analysis and AI, support predictive and preventive maintenance, develop data models and visualizations, automate reports, and assist with semiconductor test tool hardware projects.

The Technician performs setup, troubleshooting, maintenance, and modification of R&D equipment in engineering labs while ensuring safety and documentation compliance.

The Probe Product Engineer defines probe coverage strategy, manages silicon learning, and collaborates with teams for probe solutions ensuring yield, quality, and cost efficiency throughout the product lifecycle.

Develop and deploy product-disposition workflows and deviation alert systems using statistical tools and ML/AI to improve yield, reliability, and quality. Build algorithms for data mining, pattern recognition, and wafer/die screening. Collaborate with Fab, design, and quality teams, mentor team members, and drive technical innovation to meet KPIs like quality, cost, cycle time, and scale.

Perform setup, qualification, preventive maintenance, calibrations, electrical/mechanical troubleshooting, rebuilds, modifications and repairs of R&D lab equipment. Maintain equipment records and inventory, follow safety/lockout procedures, support audits, prioritize customer requests, and collaborate with cross-functional teams to deliver timely solutions.

Perform process and equipment troubleshooting, qualification, and optimization for semiconductor manufacturing. Lead new equipment qualification, support SPC/FDC/RMS/APC, manage MES data, drive yield improvement and cost reduction, manage supplier quality, and integrate AI-assisted tools for process improvements.

The Senior Engineer will optimize global manufacturing engineering operations through standardization, efficiency improvement, and effective collaboration across teams and sites.

The role involves functional and design validation of NAND products, including automation, failure analysis, and applying AI/ML techniques to improve efficiency. Responsibilities include developing test cases and performing root-cause analysis.

The role involves coding reliability test programs, analyzing data, collaborating with cross-functional teams, and promoting innovation in HBM technology.

This role involves optimizing test coverage, validating new products, improving yields, driving innovation, mentoring others, and managing projects within a cross-functional team.

The role involves product development and validation for HBM products, optimizing test coverage, improving yields, supporting new designs, and collaborating with cross-functional teams.

The role involves integrating AI tools, managing new product introductions, analyzing yields, and collaborating across teams in semiconductor engineering.

Lead technical management for ride and show control systems, overseeing specification, design, fabrication, installation, testing, vendor management, budgets, schedules, and contract scope for attractions to ensure safety and acceptance to Universal standards.

Lead water and waste construction engineering across full project lifecycle for semiconductor fabs. Review designs, resolve construction issues, manage cost/schedule/risk, coordinate contractors/consultants, support commissioning, sustainability, and standardization of best practices while using AI-assisted tools to optimize performance.

Lead electrical construction engineering for semiconductor fab projects across design, construction, commissioning, and handover. Ensure compliance with standards, manage cost/schedule/risk, resolve technical construction issues, coordinate contractors and consultants, support sustainability and BKMs, and apply AI tools to improve engineering analysis and project delivery.

Lead mechanical construction engineering for global semiconductor facility projects across design, construction, commissioning, and operations. Provide technical support, review designs, manage scope/schedule/cost/quality, resolve construction issues, support estimating and business cases, coordinate cross-functional teams, drive continuous improvement and sustainability, and integrate AI-assisted tools into engineering workflows.

Lead chemical and specialty gas construction engineering across design, construction, commissioning, and handover for large-scale semiconductor fab projects. Validate designs, resolve construction and installation issues, manage cost/schedule/risk, coordinate contractors/consultants, support root-cause analyses and BKMs, and apply AI tools to improve engineering analysis and project execution.