Top Tech Jobs & Startup Jobs in Singapore

Leads global logistics and trade compliance improvements across transportation, warehousing, customs, and supply chain networks. Uses AI, analytics, automation, and process optimization to strengthen governance, manage regulatory risks, optimize duties and taxes, and improve shipping performance. Partners with logistics, customs, finance, tax, legal, manufacturing, procurement, and regulatory stakeholders across Asia and global operations. Supports audits, compliance programs, tariff implementation, transportation optimization, corrective actions, and automated decision-support solutions.

Analyze semiconductor packaging, assembly, test, inline signals, process parameters, and manufacturing data to identify process variability and yield-loss contributors. Apply statistical analysis, visualization, programming, and AI-enabled workflows to investigate reject rates, develop engineering recommendations, document findings, and present results through a technical report and presentation.

Develop an AI-enabled procurement analytics and process-transformation solution for Front-End Materials Procurement Operations. Analyze procurement and supply-chain data, supplier performance, risks, capacity constraints, and cost opportunities. Build dashboards, tracking systems, AI or automation prototypes, and process improvements using tools such as Power BI, UiPath, Tableau, or Power Automate. Collaborate with global procurement and cross-functional stakeholders, document outcomes, and present project findings to department leaders.

Develops semiconductor memory reliability test flows, qualification plans, and manufacturing test strategies for HBM products. The role investigates reliability and RMA failures using electrical and physical failure analysis, drives root-cause resolution, supports process conversions, manages technical risks, and collaborates across fab, design, technology, systems, and quality teams. It also applies machine learning and AI automation to reliability data and workflows.

Conduct a five-month engineering project optimizing Chemical Mechanical Planarization processes and characterizing equipment in semiconductor manufacturing. Analyze process, metrology, equipment, and manufacturing data using statistical and AI-assisted methods; assess process capability and qualification results; and develop a dashboard, analytics model, or automation tool. Collaborate with cross-functional stakeholders and deliver technical reports, presentations, engineering recommendations, and documented improvement results focused on stability, yield, cost, productivity, or data accessibility.

Designs, coordinates, supervises installation, tests, commissions, and hands over ELV systems for semiconductor manufacturing construction projects. Responsibilities include fire alarms, CCTV, access control, structured cabling, public address, BMS integration, contractor coordination, site inspections, compliance with standards, troubleshooting, documentation, and stakeholder and program management.

Senior technical leader driving equipment and hardware innovation, supplier engagement, and multi-year manufacturing capability roadmaps to enable high-volume semiconductor production, AI-enabled automation, and cost/productivity improvements across global front-end sites.

Lead development, characterization, optimization, and transfer of CMP processes for advanced 3D NAND. Coordinate with global teams and suppliers, run DOE experiments, troubleshoot manufacturing issues, evaluate consumables/hardware, drive process control and yield improvements, and contribute to innovation and documentation.

Leads electrical failure analysis for next-generation NAND products, including bench testing, fault isolation, physical de-processing, and root-cause investigation of yield-limiting failures. Correlates electrical, probe, inline, parametric, and fab data; develops failure-analysis methodologies; applies analytics to identify trends and anomalies; and communicates findings through reports, visualizations, and technical presentations. Partners with process integration, yield enhancement, metrology, manufacturing, and data science teams to improve semiconductor yield and support technology transfer.

The Principal Device Engineer oversees technology ramp-up, product yield improvements, and collaborates on device performance enhancement in memory technologies.