Top Tech Jobs & Startup Jobs in Singapore

Lead global contamination-control strategy across semiconductor wafer fabs, improving yield, reliability, throughput, and cost. Responsibilities include contamination-risk mitigation, process and equipment optimization, capacity expansion support, wafer-shipment controls, KPI development, supplier collaboration, SOP standardization, and cross-functional project leadership. The role requires driving data-based monitoring, resolving process issues, supporting qualifications, coordinating global teams, and communicating outcomes across manufacturing sites.

Develop an AI-enabled proof of concept for New Product Manufacturing, using Generative AI, analytics, dashboards, automation, Python, SQL, and Microsoft tools. The intern will assess manufacturing processes, define data and business requirements, automate reporting or workflows, create operational visualizations, measure productivity benefits, and document recommendations. The role involves collaboration with engineering, manufacturing, data, automation, and business stakeholders.

Full-time internship focused on applying Python, statistical analysis, visualization, and introductory machine learning to semiconductor probe-test, electrical failure, and fabrication-process data. The intern will investigate yield behavior in advanced memory manufacturing, develop a multivariate analytics tool, identify potential yield-improvement opportunities, and present documented findings through a technical report and presentation.

Intern will analyze Wafer Intelligent Scanner, defect, yield, process, and equipment data to identify abnormal wafer bevel behavior and early indicators of defects. Responsibilities include data preparation, statistical and machine learning analysis, model evaluation, dashboard creation, and technical reporting. The project supports semiconductor yield improvement and defect reduction through AI-enabled manufacturing analytics.

Supports a dry etch manufacturing engineering project analyzing equipment, process, maintenance, logistics, and cost data. Develops predictive models to estimate consumable-part lifetime, identifies factors affecting part performance, builds dashboards or visualizations, and provides recommendations to improve cost efficiency, productivity, equipment performance, quality, safety, and manufacturing yield. The intern also documents findings and presents methodology, results, limitations, and next steps.

Designs and delivers agentic AI systems that transform complex manual business processes into secure, scalable autonomous workflows. Responsibilities include process decomposition, AI architecture, agent and prompt design, integrations, prototyping, testing, human-in-the-loop controls, least-privilege security, cross-functional delivery, value measurement, and mentoring. The role requires strong business-process redesign experience alongside hands-on AI/ML and LLM system development.

Leads the redesign of complex business processes into autonomous, agentic AI systems. Responsibilities include process decomposition, AI architecture, agent workflow development, prototyping, integration, security controls, human-in-the-loop design, testing, production delivery, value measurement, and mentoring. The role collaborates with business, architecture, security, platform engineering, and project management teams to deliver scalable generative AI solutions.

Leads Micron’s global Assembly and Test New Product Management and inventory control organization. The role oversees NPI execution, build-plan commitments, demand fulfillment, cycle-time governance, WIP management, inventory health, and NPI-to-high-volume-manufacturing transitions. It drives planning transformation, automation, AI-enabled planning, inventory optimization, and working-capital improvements while partnering with product development, manufacturing, finance, supply chain planning, and business units. The director also develops global teams and provides executive recommendations during capacity constraints, supply disruptions, and NPI escalations.

Six-month intern project developing an AI-enabled data harness for product-ramp and business-planning intelligence. Responsibilities include integrating planning data, designing data structures and workflows, applying AI and analytics for scenario modeling and resource optimization, creating decision-support prototypes, and documenting findings. The intern will collaborate with engineering, operations, and business stakeholders while gaining experience in semiconductor R&D operations, budgeting, workforce planning, and cost management.

Leads a team developing and productionizing predictive, machine learning, deep learning, and GenAI solutions for semiconductor manufacturing and HBM product engineering. Responsibilities include yield and reliability modeling, large-scale data pipelines, MLOps, model monitoring and drift control, distributed analytics, deployment, and engineering decision support. The role also requires mentoring engineers, setting technical direction, collaborating cross-functionally, and translating model outputs into improvements in quality, cost, cycle time, and manufacturing efficiency.