Top Tech Jobs & Startup Jobs in Singapore

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.

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.

Work as a fab process and equipment engineer to start up, develop, optimize, and qualify semiconductor CVD/PVD processes. Improve yield, quality, cost, and cycle time using data analysis, root-cause methods (FMEA, 8D, SPC), and equipment/material evaluations. Coordinate process releases, audits, supplier interactions, and implement continuous improvements including AI-assisted tools.

Lead end-to-end HBM/DRAM validation: execute ValRuns, MBIST and native-mode testing, develop test programs, run Verilog simulations, perform power/thermal and eye/IDD characterization, build automation and analytics, drive silicon debug and mentor junior engineers.

Lead the DL4 steering team overseeing outgoing defense line metrics, ensuring quality standards, conducting post-mortem analyses, and fostering cross-functional collaboration for innovative solutions.

Manage and optimize warehouse operations (receiving, storage, issuance), ASRS performance, inventory accuracy, and site process stewardship. Use AI-driven tools, automation, and analytics to drive standardization, continuous improvement, staff training, and compliance with safety and IP requirements.

Define and implement security test strategies for SSD firmware. Design and run grey-box and white-box tests, perform root-cause analysis on security failures, drive test automation and regression integration, collaborate on secure design reviews with firmware teams, and mentor junior engineers.

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 the development of AI/ML solutions for production planning and agentic systems, mentor junior data scientists, and optimize performance and efficiency of systems.

The role involves optimizing NAND module processes, leading cross-functional teams, developing solutions to improve product yield and quality, and managing technology transfer from R&D to manufacturing.