Top Tech Jobs & Startup Jobs in Singapore

Lead global procurement strategy for assembly, test materials and outsourced manufacturing. Drive category strategy, supplier performance, cost optimization, supply assurance, risk mitigation, and build a high-performing global procurement organization aligned with enterprise priorities and AI-enabled procurement analytics.

Maintain and audit fab capacity models, apply industrial engineering and statistics for scheduling and production planning, coordinate cross-functional projects, evaluate scenario impacts, support capital and product-introduction planning, and drive continuous improvement using data and AI-assisted tools.

Plan and optimize semiconductor production equipment layouts using industrial engineering principles. Validate layouts onsite with Facilities and tool owners, maintain ramp-plan documentation, coordinate with Manufacturing and Engineering, and apply cleanroom design knowledge. Incorporate AI-assisted tools to improve planning and continuous improvement.

Lead development and optimization of advanced wafer-level packaging and stacking equipment. Drive equipment capability, process improvements, cost reduction, and roadmap planning for post-probe wafer/die processing. Collaborate across process, test, product engineering, and quality teams to transition designs from R&D to high-volume production and apply data analysis, SPC/DOE, and automation to improve hardware maturity.

Lead the engineering, commissioning, maintenance, and optimization of high-, medium-, and low-voltage electrical infrastructure supporting semiconductor manufacturing. Responsibilities include safety compliance, root-cause investigations, system resilience analysis, expansion projects, design and construction oversight, reliability and energy-efficiency initiatives, SMART power system deployment, and mentoring engineers and technicians.

Lead commissioning, maintenance, optimization, capacity planning, and expansion of control and SMART facility systems supporting semiconductor manufacturing. Conduct risk assessments, FMEA, root-cause investigations, and post-incident corrective actions. Provide engineering oversight for infrastructure upgrades, improve reliability and energy efficiency, deploy predictive diagnostics and digital tools, and mentor engineers and technicians while ensuring EHS compliance.

Develops semiconductor metrology and inspection solutions to improve product quality and manufacturing yield. Uses defect analysis, data analytics, statistical process control, sampling methodologies, and designed experiments to identify process deviations and root causes. Collaborates with engineers, equipment suppliers, and manufacturing teams to qualify and optimize tools, improve detection, reduce variability and costs, and increase equipment availability. Provides fab recommendations, supports tool maintenance and recovery, and trains engineering personnel.

Manages strategic programs and projects for Micron’s Fab10 site, coordinating roadmaps, schedules, budgets, scope, risks, performance updates, and cross-functional stakeholder communication. Supports strategic initiatives involving infrastructure, people, competitiveness, manufacturing efficiency, sustainability, procurement, facilities, and finance. Partners with frontend operations networks and site leadership to prioritize projects, implement valuable activities, and drive continuous improvement using appropriate digital and AI-enabled tools.

Build and deploy full-stack AI applications for smart manufacturing, including data pipelines, machine learning models, APIs, web interfaces, LLM integrations, automation tools, and observability. Develop containerized solutions with Docker and Kubernetes/OpenShift, contribute to CI/CD and MLOps practices, integrate robotics and manufacturing systems, and apply Responsible AI controls. Collaborate with data scientists, software engineers, and manufacturing stakeholders to improve operational decision-making and autonomous operations.

Analyzes inline, parametric, probe, and experimental wafer data to identify yield limiters and semiconductor process issues. The engineer uses device physics, electronics, manufacturing-process knowledge, and statistical analysis to resolve yield problems, communicate process and tool issues, support corrective actions, publish yield Pareto analyses, and collaborate across teams. Responsibilities also include technology transfers from R&D to production fabs and responsible integration of AI-enabled tools.