Top Tech Jobs & Startup Jobs in Singapore

Plan, schedule, and implement new tool installations, relocations, and chamber retrofits. Develop and own equipment maintenance procedures and preventative schedules. Collaborate with process owners and vendors to improve equipment performance, uptime, and cost reduction, and report on improvements. Maintain QMS components and integrate AI-assisted tools to drive continuous improvement.

Design, develop, deploy, and maintain automation software for factory operations including autonomous material delivery, scheduling, and equipment automation. Collaborate with manufacturing and global automation teams, own end-to-end solution lifecycle, troubleshoot production systems, use data analysis and visualization, and integrate AI-assisted tools to drive continuous improvement and operational efficiency.

Lead development and optimization of photolithography processes for advanced nodes, define process and equipment roadmaps, integrate new technologies, drive technology transfer with global teams, implement advanced process control (DOE/statistics/simulation), perform material and reticle/OPC evaluations, optimize overlay, mentor engineers, and contribute IP and AI-enabled process improvements.

Own probe strategy and silicon learning at wafer test across pre-silicon staging, first-silicon bring-up, qualification, and HVM. Define probe coverage, limits, guard-bands, and probe test flows; drive yield, quality, and test-cost outcomes. Collaborate with Design, DFT, DV, Process Integration, Backend Test, and Reliability to enable manufacturable probe solutions and apply data/AI for test optimization.

Design, develop, and deploy software and system solutions for semiconductor manufacturing to improve productivity, yield, and quality. Integrate AI-powered analytics and automation, build user interfaces and databases, manage enterprise applications, lead projects, mentor teammates, and collaborate with vendors and stakeholders to commission and maintain reliable production systems.

Perform die‑level electrical failure analysis for advanced NAND products, construct root‑cause failure models, design and run bench DOE and probe experiments, translate findings into test/process/device improvements, support NPI and HVM issue resolution, develop custom test conditions and scripts, and drive data‑driven yield and reliability improvements while integrating AI‑assisted tools.

Support new non-volatile memory product startups and sustain high-volume yields by performing yield and failure analysis, designing and running DOE, driving cross-functional mitigation taskforces, collaborating with fab/process/test teams, presenting statistical analysis, and integrating AI-assisted tools to improve yield, product grades, and reliability.

Work with process control, traveler control, IS, and production to align, optimize, and troubleshoot MES system setup and operation. Drive system improvements, global best practices, training, software enhancements, automation solutions, and integrate AI-assisted tools to improve efficiency and quality.

Designs and implements smart warehouse automation (ASRS, conveyors, RFID) and integrates WMS, AI-driven analytics, OCR/barcode receiving, and digital twins. Supports preventive and predictive maintenance, troubleshooting, documentation, dashboards, and cross-functional deployment to optimize material flow and just-in-time delivery.

Perform wafer-level reliability development and validation for next-generation NAND flash: data visualization and scripting, HTML display, electrical failure analysis, OCAP and Bench EFA validation, reliability sampling plans, process improvement with fab, and drive corrective actions and qualification to meet reliability and time-to-market targets.