Top Tech Jobs & Startup Jobs in Singapore

Responsibilities include troubleshooting line issues, managing wafer shipments, monitoring process flow, and supporting PI engineers with data analysis and updates.

The role involves leading finance process intelligence initiatives, enhancing process visibility, driving adoption of process intelligence platforms, and optimizing finance operations through analytics and AI integration.

The Principal Engineer will lead NAND process modules, define specifications, resolve issues, optimize performance, innovate materials, and drive technology transfer.

As a Distinguished Member of Technical Staff, you will lead process modules for 3D NAND development, optimize performance, resolve issues, and coordinate technology transfer while fostering innovation and communication across teams.

As a Senior Data Scientist, you'll analyze large datasets using advanced mathematical and statistical methodologies to derive actionable insights and optimize semiconductor operations.

Lead package/product engineering for High Bandwidth Memory (HBM): drive yield and DPM reduction via test coverage, electrical and physical failure analysis, root-cause resolution, cross-functional projects, and technical/people leadership including mentoring and decision-making on risk and priorities.

Lead development of data-driven digital twins for semiconductor fabs: integrate IoT and MES data, build predictive ML models for maintenance, throughput, and energy, run simulations (Omniverse) for optimization, and design real-time 3D visualizations and dashboards while collaborating with engineering and planning teams.

As a Senior Metrology Development Engineer, you will focus on 3D NAND process technology, deploying X-ray metrology techniques, driving collaboration for inline detection solutions, and influencing equipment roadmaps for advanced semiconductor structures.

Develop end-to-end data science and ML solutions for semiconductor manufacturing to improve yield, quality, cycle time, and reduce cost. Work across the full pipeline from data acquisition and cleansing through model building, deployment, visualization, and collaboration with international engineering teams. Leverage statistical modeling, deep learning, generative AI techniques, and manufacturing domain knowledge to drive high-impact projects.

Lead and grow a team of diffusion and implant engineers to develop and transfer 3D NAND process modules. Drive process characterization, DOE-driven optimization, process monitoring/control, manufacturability, supplier partnerships, and adoption of data analytics/AI to improve yield, cost, and scalability while supporting pilot ramps and high-volume manufacturing.