Top Engineering Jobs in Singapore

Intern will analyze Wafer Intelligent Scanner, defect, yield, process, and equipment data to identify abnormal wafer bevel behavior and early indicators of defects. Responsibilities include data preparation, statistical and machine learning analysis, model evaluation, dashboard creation, and technical reporting. The project supports semiconductor yield improvement and defect reduction through AI-enabled manufacturing analytics.

Operate and maintain critical database systems supporting manufacturing and engineering. Responsibilities include database installation, upgrades, patching, access management, backups, monitoring, performance tuning, 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.

Leads HBM product engineering reliability teams responsible for reliability test development, qualification execution, DPM reduction, failure analysis, root-cause resolution, manufacturing test optimization, and process conversions. Collaborates with fabrication, technology development, design, quality, and system teams to improve yield, cost, cycle time, quality, and product reliability. Provides technical decisions, risk management, project leadership, mentoring, and innovation while supporting HBM products across DRAM, interface die, and stacked components.

Supports a dry etch manufacturing engineering project analyzing equipment, process, maintenance, logistics, and cost data. Develops predictive models to estimate consumable-part lifetime, identifies factors affecting part performance, builds dashboards or visualizations, and provides recommendations to improve cost efficiency, productivity, equipment performance, quality, safety, and manufacturing yield. The intern also documents findings and presents methodology, results, limitations, and next steps.

Develop an IoT-based monitoring and anomaly-detection solution for photolithography equipment in a semiconductor manufacturing environment. The intern will study equipment behavior and sensor signals, build prototypes for data ingestion, processing, analytics, and visualization, and apply Python, machine learning, and signal-processing techniques. Responsibilities include integrating equipment or process data, analyzing imaging, acoustic, environmental, motor, or material-usage data, documenting results, and presenting a final technical report.

Lead advanced 3D NAND process integration and technology roadmap development in an R&D environment. Drive end-to-end technology validation, architecture and process optimization, characterization, debugging, yield learning, and cross-functional execution. Apply data analytics, AI-assisted methods, and modeling to solve scaling challenges. Collaborate across device, probe, test, design, and operations teams while advancing innovation through process improvements, patents, and publications.

Intern will develop software, data pipelines, integrations, dashboards, automation, and AI-enabled solutions for photolithography engineering in semiconductor manufacturing. Responsibilities include connecting equipment, manufacturing systems, databases, and engineering platforms; applying analytics and machine learning; and using modern software practices such as version control, testing, deployment, and maintainable architecture. The intern will collaborate with multidisciplinary engineering teams and deliver production-quality applications, documentation, reusable code, and a final technical presentation.

Provides shift-level engineering support for semiconductor technology development and high-volume manufacturing. Resolves process, equipment, yield, quality, and line-down issues; coordinates with development, operations, technicians, and suppliers; executes reaction plans and process-development activities; performs data-driven troubleshooting and root-cause analysis; manages improvement projects; and supports training, process control, tool performance, and operational excellence across rotating 12-hour shifts.

Supports shift-level semiconductor manufacturing and technology development operations. Resolves process, equipment, quality, yield, lot hold, excursion, and line-down issues; coordinates with development, operations, technicians, suppliers, and cross-functional teams. Executes reaction plans, troubleshooting, root-cause analysis, process-control activities, data collection, wafer shipments, and critical-lot monitoring. Manages improvement projects, supports training, and protects process stability, output, and quality across rotating 12-hour shifts.

Manage the application lifecycle for software systems supporting highly automated semiconductor manufacturing. Analyze business and technical requirements, develop and maintain software solutions, enforce secure development practices, conduct testing and training, apply updates and patches, monitor systems, prevent downtime, and use AI, automation, and analytics tools to improve delivery and operational efficiency.