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.

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.

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.

Develop an IoT-based monitoring and anomaly-detection solution for photolithography equipment in a semiconductor manufacturing environment. The intern will study equipment behavior and sensor signals, build prototypes for data ingestion, processing, analytics, and visualization, and apply Python, machine learning, and signal-processing techniques. Responsibilities include integrating equipment or process data, analyzing imaging, acoustic, environmental, motor, or material-usage data, documenting results, and presenting a final technical report.

Lead advanced 3D NAND process integration and technology roadmap development in an R&D environment. Drive end-to-end technology validation, architecture and process optimization, characterization, debugging, yield learning, and cross-functional execution. Apply data analytics, AI-assisted methods, and modeling to solve scaling challenges. Collaborate across device, probe, test, design, and operations teams while advancing innovation through process improvements, patents, and publications.

Leads complex global frontend planning initiatives from strategy through implementation and adoption. Improves planning processes, systems, data quality, analytics, automation, and decision support while influencing cross-functional stakeholders across manufacturing, engineering, supply chain, finance, and digital teams. Provides structured analysis, requirements, recommendations, governance, risk management, change adoption, industry benchmarking, mentoring, and technical leadership without direct authority.

Intern will develop software, data pipelines, integrations, dashboards, automation, and AI-enabled solutions for photolithography engineering in semiconductor manufacturing. Responsibilities include connecting equipment, manufacturing systems, databases, and engineering platforms; applying analytics and machine learning; and using modern software practices such as version control, testing, deployment, and maintainable architecture. The intern will collaborate with multidisciplinary engineering teams and deliver production-quality applications, documentation, reusable code, and a final technical presentation.