Top Tech Jobs & Startup Jobs in Singapore

Develops and executes semiconductor product reliability stress tests, qualification plans, and manufacturing test strategies for High Bandwidth Memory products. Investigates reliability failures using electrical and physical failure analysis, drives root-cause resolution, supports process conversions and high-volume manufacturing, and reduces defect rates. The role manages technical risks, collaborates across fab, design, technology, quality, and systems teams, promotes AI-enabled workflow improvements, and mentors team members.

Supports semiconductor technology development shift operations by resolving process and equipment issues, protecting yield, maintaining quality, and coordinating with manufacturing and cross-functional teams. Develops reaction plans, troubleshoots tool and process problems, performs data-driven yield and defect analysis, supports process development activities, manages improvement projects, and maintains control of chronic issues using SPC and related manufacturing systems. Requires flexibility for permanent 12-hour day or night shifts.

Leads NAND yield analysis and improvement by identifying yield issues, performing statistical and correlation studies, developing inline detection methods, and driving cross-functional root-cause resolution. The role analyzes probe, process, cell, and reliability data; develops metrics, projections, and automated database extraction scripts; supports test and layout improvements; and transfers new technology fundamentals from R&D to manufacturing.

Develop and maintain metrology measurement recipes and inspection strategies to detect defects and improve yield. Use advanced analytics and SPC to monitor tools, design experiments to find defect sources, collaborate with cross-functional teams and suppliers, and run projects to improve inline detection, efficiency, cost, and tool availability. Integrate AI-assisted tools and provide data-driven recommendations to support fab operations and continuous improvement.

Lead site learning and development by implementing training plans, conducting needs analyses, designing OJT and onboarding, mentoring employees, managing training data and reports using digital/AI tools, collaborating with stakeholders, and driving change management and continuous improvement to enhance operational capability.

Engineering intern will design and validate a mechanical automation solution for repeatable SSD hot-plug testing in enterprise servers. Responsibilities include defining requirements, developing fixtures and actuator mechanisms, integrating microcontrollers, creating Python or shell-based automation, conducting engineering evaluations, analyzing results, troubleshooting hardware-software integration, and documenting recommendations. The project spans mechanical, electrical, firmware, software, and validation disciplines and requires a full-time commitment of at least five months.

Develop and manage software applications in an automated semiconductor manufacturing environment. Translate business requirements into technical solutions, maintain secure software development practices, perform testing and training, apply system updates, monitor applications, prevent downtime, and use AI-powered tools to improve delivery and operational efficiency. The role also provides technical guidance, supports manufacturing software issues, and collaborates with global IT teams using agile practices.

Manage software application lifecycles in an automated semiconductor manufacturing environment. Analyze business and technical requirements, develop and maintain software systems, apply secure development practices, test and release updates, monitor systems, prevent downtime, and resolve high-priority manufacturing application issues. Collaborate with global IT teams and use AI-powered development, automation, and analytics tools to improve software delivery and operational efficiency.

Develop a digital twin and analytics framework for semiconductor photolithography equipment. Analyze utilization, throughput, cycle time, and operational data using statistics, machine learning, simulation, and visualization. Build dashboards and predictive models to identify bottlenecks, evaluate optimization scenarios, and improve equipment productivity. Collaborate with engineering teams, document findings, and present recommendations for manufacturing improvement.

Operate and engineer database systems supporting manufacturing and engineering. Responsibilities include installation, upgrades, patching, access management, backups, performance tuning, monitoring, incident resolution, disaster recovery, capacity planning, reporting, automation, and business continuity. The role provides on-call support, collaborates with customers on database requirements, improves operational reliability, and evaluates emerging database technologies and AI-assisted tools.