Top Tech Jobs & Startup Jobs in Singapore

Leads shift-level process development and manufacturing engineering operations in a wafer fabrication environment. Coordinates priorities, resolves process and equipment issues, protects yield and quality, and supports development execution. Supervises engineers and technicians, manages shift reaction plans, analyzes data and SPC trends, drives root-cause resolution, and partners with operations, suppliers, and cross-functional teams. Provides coaching, performance management, training, and project leadership while supporting rotating 12-hour day and night shifts.

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.

Campus hiring opportunities at Micron Singapore across semiconductor engineering and technology teams. Roles involve advanced packaging, HBM, NAND process development, product engineering, SSD engineering, quality assurance, systems engineering, equipment engineering, automation, yield improvement, reliability, and data analytics for AI, cloud, and data center technologies.

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.

Develop and deploy machine learning models, predictive analytics, and agentic AI solutions for semiconductor manufacturing and engineering. Build scalable data pipelines and ML workflows using large-scale manufacturing datasets to improve yield, quality, reliability, cycle time, and cost. Integrate AI agents with enterprise platforms, mentor Citizen Data Scientists, lead technical initiatives, and support production deployment, MLOps, innovation, and AI adoption across Product Engineering.

The Material Handler manages warehouse inventory, ensures timely deliveries, operates material handling equipment, and supports quality standards and compliance initiatives. Responsibilities include shipping, logistics, cycle counts, and contributing to continuous improvement efforts.

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.