Top Tech Jobs & Startup Jobs in Singapore

Drives semiconductor diffusion process and equipment performance, productivity, capacity, yield, reliability, and cost improvements. Leads technical investigations, bottleneck reduction, supplier engagement, technology transfers, and cross-functional engineering projects. Uses data analytics, AI, machine learning, statistical methods, automation, and predictive maintenance approaches to improve manufacturing operations. Develops best practices, supports new capabilities, provides technical recommendations, and mentors junior engineers.

Analyze NAND wafer defectivity data, perform electrical and physical failure analysis, identify root causes, and support qualification of memory products. The intern will apply digital and analog circuit knowledge, device physics, and semiconductor processing concepts to develop defect countermeasures. The role also involves using AI-assisted tools, contributing to continuous improvement, and communicating technical findings effectively.

Monitor and optimize inbound and outbound transportation, freight costs, carrier performance, shipment fulfillment, customs compliance, and logistics KPIs. Analyze supply chain data, identify bottlenecks and cost-saving opportunities, support carrier negotiations, maintain ERP and reporting systems, develop dashboards, and assist with risk mitigation, process automation, and network optimization.

Monitor and optimize inbound and outbound transportation, freight costs, carrier performance, shipment delivery, and supply chain KPIs. Analyze logistics data, identify savings and process improvements, support import/export compliance, resolve shipment issues, and maintain accurate ERP and reporting data. Develop dashboards, assist with carrier negotiations, manage audit corrective actions, and contribute to network optimization and business continuity initiatives.

The Staff Engineer will lead chemical system design for construction projects, provide technical support, manage operational excellence for chemical systems, and drive sustainability efforts across facilities.

Intern will analyze NAND wafer probe and device-level test data, evaluate yield trends and failure signatures, optimize test coverage and efficiency, and develop AI-enabled analytics or automation solutions. Responsibilities include statistical analysis, anomaly detection, data visualization, technical reviews, and collaboration with design, manufacturing, reliability, and test engineering teams. The intern will deliver technical recommendations, an analytical prototype or workflow, and a final report and presentation.

Supports semiconductor HBM reliability, device/package/wafer testing, failure analysis, product debugging, laboratory operations, inventory and logistics, audits, safety compliance, automation, data analysis, and continuous improvement. Uses AI-assisted tools, Power BI, Python, SQL, and manufacturing systems to improve reliability workflows and debug efficiency. Requires rotating day/night shifts, including occasional weekends and public holidays, and collaborates with cross-functional teams while mentoring junior technicians.

Leads electrical engineering and construction for semiconductor fab and cleanroom environments. Oversees power distribution, substations, transformers, UPS, generators, tool power, lighting, grounding, commissioning, energization, safety, change management, and handover. Coordinates with multidisciplinary construction teams, reviews designs and technical submissions, resolves field issues, manages readiness milestones, approves turnover documentation, and supports facilities operations and continuous improvement.

The Yield Analysis Engineer will drive yield improvement activities, develop innovative NAND technologies, perform statistical analysis, and collaborate with cross-functional teams.

Supports integration of advanced HBM products into customer systems through technical problem-solving across product development, system engineering, semiconductor processing, packaging, failure analysis, qualification, and testing. The role integrates customer requirements into internal design and manufacturing processes, participates in technical reviews and debugging, collaborates with engineering and manufacturing teams, and contributes to yield improvement and customer qualification programs. AI adoption and regular use are required.