Top Tech Jobs & Startup Jobs in Singapore

Lead wet-process equipment and process development to improve yield, quality, cost, and sustainability. Drive tool startup, qualification, CIP roadmaps, defect reduction, IoT sensor integration, AI-assisted process improvements, supplier collaboration, and root-cause analysis across global fab sites.

Analyze inline, param, probe, and experiment data to identify and resolve wafer yield issues. Communicate findings to fab process teams, lead multi-area focus teams, publish Pareto yield limiters, support technology transfers, and integrate AI-assisted tools to improve yield and quality.

Lead dry etch process and equipment engineering to improve yield, productivity, quality, and cost across global fabs. Drive plasma process and hardware optimization, supplier collaborations, tool qualification, chamber telemetry/IoT, defect reduction, and sustainability programs while integrating AI-assisted tools for analytics and process control.

Develop modeling, analytics, and web-based solutions to improve manufacturing efficiency and scheduling. Communicate methods and results, manage project tasks, collaborate across teams, and apply AI/ML and optimization techniques to manufacturing constraints.

Own probe strategy and silicon learning at wafer test across pre-silicon through HVM. Define probe coverage, limits, and guard-bands; enable NPI and first-silicon bring-up; drive yield, quality, and cost optimizations; collaborate with Design, DFT, DV, Process, Test, and Reliability; apply data analytics and AI/ML for probe and test optimization.

The role involves setting up dry etch equipment, collaborating with process development, optimizing hardware, and leading innovation projects. It requires strong communication and project management skills.

Design and implement advanced smart manufacturing solutions in scheduling, mathematical optimization, and discrete event simulation. Build data analytics and applications to provide actionable insights, collaborate globally to deploy solutions across manufacturing sites, and integrate AI/OR hybrid methods to improve production performance and benchmarking.

Lead probe strategy and silicon learning from pre-silicon staging through first-silicon bring-up and HVM. Define probe coverage, limits, and guard-bands using silicon characterization. Collaborate with Design, DFT, DV, Process Integration, Backend Test, and Reliability to drive yield, quality, cost, and test-efficiency improvements. Enable NPI, perform device characterization, root-cause analysis, and apply data/AI for probe and test optimization.

Lead engineering, maintenance, commissioning, and optimization of site electrical systems (230kV to LV) for semiconductor manufacturing. Drive capacity planning, reliability improvements, FMEA, root-cause 8D investigations, SMART power deployments, and mentor engineers and technicians to ensure safe, resilient, and efficient electrical infrastructure.

Hands-on internship supporting mechanical design, rapid prototyping (3D printing), testing, documentation, and basic automation/AI exposure to improve probe auxiliary equipment reliability and productivity in a semiconductor manufacturing environment. Assist engineers with fixtures, jigs, prototyping, data analysis, and structured problem-solving while following safe manufacturing practices.