Top Tech Jobs & Startup Jobs in Singapore

Engineering intern supporting semiconductor assembly output, yield, quality, reliability, and cost improvements. Responsibilities include studying assembly equipment and process controls, analyzing process and equipment data, planning experiments, applying statistical methods and root-cause analysis, proposing improvements, implementing approved solutions, and monitoring effectiveness. The role also explores Generative AI and Agentic AI for engineering analysis, documentation, and productivity.

The role involves yield data analysis in semiconductor manufacturing, resolving yield issues, and collaborating across teams to improve processes.

Supports global HR services transformation initiatives focused on AI, automation, productivity, and digital service delivery. Coordinates project execution, requirements, testing, rollout, stakeholder adoption, process optimization, documentation, reporting, and continuous improvement. Partners with HR teams, technology groups, and vendors while tracking productivity, experience, and adoption outcomes.

Leads functional and design validation for advanced NAND products using silicon and simulation platforms. Develops deterministic tests, random sequence generators, and automation frameworks in C, Python, and Perl. Performs electrical failure analysis, root-cause investigations, and cross-functional issue resolution. Uses Verilog, Synopsys VCS, dashboards, data analytics, and AI/ML techniques to improve validation coverage, test efficiency, defect triage, and debug productivity.

Internship focused on semiconductor process integration, device reliability, and data-driven improvement for NAND, DRAM, and HBM manufacturing. The intern will study process interactions, failure mechanisms, yield, reliability, and manufacturing data while gaining exposure to analytics, automation, dashboards, and AI/ML tools. Deliverables include technical documentation, analysis reports, improvement evaluations, and an analytics or automation demonstration. The role involves collaboration across process, manufacturing, yield, product, and failure analysis teams.

Analyze semiconductor manufacturing and equipment datasets to identify Germhold patterns and root causes. Apply statistical analysis, machine learning, predictive analytics, and data visualization to develop improvement insights, dashboards, and reporting tools. Collaborate with process and equipment engineers to validate findings, evaluate AI-enabled solutions, and recommend ways to improve workstation efficiency, reduce Germholds, and enhance manufacturing capacity.

Manages end-to-end procurement for capital equipment, spares, and services, including P2P processes, supplier relationships, negotiations, contracts, delivery, cost optimization, and performance management. Drives localization, supply-chain resilience, continuous improvement, and AI-enabled procurement initiatives. Partners with Procurement, Engineering, Planning, Finance, and Legal teams while providing strategic recommendations and executive-level supplier insights.

Five-month internship focused on SSD depanel process characterization and optimization in semiconductor manufacturing. Responsibilities include executing statistical Design of Experiments, analyzing process and equipment data, identifying variation sources, establishing operating windows, developing visualizations, collaborating with engineering stakeholders, and evaluating AI-enabled tools for automated analysis, anomaly detection, reporting, and knowledge capture.

Model and audit global probe capacity and capital impacts, optimize equipment utilization and tool-level throughput, perform financial and statistical analysis, build automation and AI-enabled tools for planning/reporting, and communicate recommendations and KPIs to manufacturing leaders.

Interns will develop AI-enabled and digital solutions for semiconductor failure analysis workflows. Responsibilities include analyzing laboratory metrics and engineering datasets, creating dashboards and automation tools, exploring AI and knowledge-management applications, collaborating with Test Engineering stakeholders, and presenting project findings. The role provides exposure to electrical and physical failure analysis, semiconductor manufacturing, data analytics, workflow automation, and engineering decision-making.