Top Tech Jobs & Startup Jobs in Singapore

This role involves developing and executing reliability test flows, managing qualification processes, analyzing device issues, collaborating on process conversions, and promoting innovation in product engineering within cross-functional teams.

Develops, evaluates, qualifies, and deploys automated semiconductor packaging equipment. Responsibilities include defining equipment requirements, benchmarking suppliers, managing capital requests and purchasing specifications, establishing qualification criteria, transferring equipment to production, maintaining equipment maturity and capability records, enabling automation and process-control systems, and supporting supplier improvement initiatives and continuous improvement projects.

Develop analytics, operations-research and machine-learning solutions and web applications to improve semiconductor manufacturing efficiency and scheduling. Manage requirements, stakeholders, and delivery; collaborate across teams; integrate AI-assisted tools; and support continuous improvement in capacity, cycle-time, and scheduling optimization.

Analyzes inline, parametric, probe, and experimental wafer data to identify yield limiters and semiconductor process issues. The engineer uses device physics, electronics, manufacturing-process knowledge, and statistical analysis to resolve yield problems, communicate process and tool issues, support corrective actions, publish yield Pareto analyses, and collaborate across teams. Responsibilities also include technology transfers from R&D to production fabs and responsible integration of AI-enabled tools.

The role involves leading reliability tests for HBM products, addressing issues in performance and quality, and collaborating across teams for process improvements.

Qualifies semiconductor packaging materials, performs testing and failure analysis, manages supplier quality issues, drives corrective actions, supports material changes, and maintains laboratory equipment and compliance. Collaborates with manufacturing, quality, suppliers, and global engineering teams to improve cost, quality, delivery, and risk outcomes using statistical and quality tools.

As a Probe Shift Equipment Engineer, you will lead a team of technicians, ensuring equipment schedules are met and goals achieved through training, data analysis, and collaboration with stakeholders.

Execute Fault Detection and Classification processes, assist engineers in testing software, publish reports, and support data compilation tasks while ensuring compliance with business processes.

Develop and deploy machine learning models, predictive analytics, and agentic AI solutions for semiconductor manufacturing and engineering. Build scalable data pipelines and ML workflows using large-scale manufacturing datasets to improve yield, quality, reliability, cycle time, and cost. Integrate AI agents with enterprise platforms, mentor Citizen Data Scientists, lead technical initiatives, and support production deployment, MLOps, innovation, and AI adoption across Product Engineering.

Drive manufacturing performance and yield improvement for backend assembly and test by applying statistical and data-driven analysis. Identify root causes, lead cross-functional corrective actions, maintain Pareto analyses, and integrate AI-assisted tools to improve quality, reliability, and production issue resolution in high-volume semiconductor manufacturing.