Top Tech Jobs & Startup Jobs in Singapore

Intern will analyze semiconductor metrology datasets to evaluate workstation conversion performance, process capability, measurement effectiveness, and efficiency trade-offs. Responsibilities include learning metrology principles, partnering with engineering teams, exploring AI-assisted analytical workflows, developing data-driven recommendations, documenting findings, and presenting results. The role supports process integration and manufacturing productivity improvements while providing experience in engineering data analysis and semiconductor manufacturing.

Leads High Bandwidth Memory product development from introduction through high-volume production. Owns technical program requirements, milestones, reviews, risk mitigation, decision-making, and cross-functional coordination across engineering, quality, supply chain, packaging, test, and manufacturing teams. Represents programs to executives, drives change management, and develops distributed team members through mentorship, coaching, evaluations, and accountability.

Supports semiconductor device, package, wafer, and HBM reliability testing, failure analysis, debugging, laboratory operations, inventory, logistics, audits, safety, and continuous improvement. Uses AI-assisted tools, automation, data analysis, dashboards, and digital transformation to improve reliability operations. Requires rotating day/night shifts and collaboration with cross-functional teams, with opportunities to mentor junior technicians.

Manufacturing engineering intern supporting semiconductor Diffusion operations. The role analyzes capacity, equipment performance, workstation constraints, downtime, process holds, and product mix impacts. Responsibilities include applying Pareto analysis, SPC, root cause analysis, and capacity modeling; developing data-driven recommendations; collaborating with engineering and manufacturing teams; and presenting findings through technical reports and project reviews.

Serves as the technical specialist for EHSS data, designing data models, mappings, transformation logic, quality controls, metadata, and reusable datasets. Partners with subject matter experts, IT, and analytics teams to deliver trusted data products supporting reporting, analytics, automation, AI, and operational decisions. Responsibilities include validation, reconciliation, root-cause analysis, testing, deployment readiness, governance, documentation, and long-term sustainment of enterprise data assets.

Lead design, expansion, maintenance, and reliability improvements for semiconductor fab mechanical and cleanroom systems (HVAC, chillers, cooling towers, compressed air, process cooling, etc.). Drive preventive and predictive maintenance, troubleshoot production-impacting issues, perform root-cause analysis, manage spare parts and procurement, and implement sustainability and smart/AI initiatives.

Lead dry etch process development for 3D NAND: deploy new process technologies, optimize etch tool performance and recipes, run DOE and data analysis, troubleshoot yield issues, collaborate with fabs and cross-functional teams, and apply AI to streamline workflows and decision-making.

Performs physical failure analysis on memory products, including fault isolation, decapsulation, circuit edit support, and failure characterization. Investigates device physics, architecture, fabrication processes, and electrical failure modes to identify root causes and improve yield, quality, and reliability. Collaborates with engineering, manufacturing, process integration, and quality teams, documents findings, maintains laboratory equipment and safety standards, and works rotating 12-hour shifts in a 24/7 laboratory.

Intern will develop an AI-enabled inline health-monitoring and process-drift detection solution for semiconductor Process Integration. Responsibilities include extracting and validating process metrics, creating dashboards and visualizations, analyzing large datasets, exploring AI tools for process-window optimization, and prototyping AI agents for engineering workflow automation. The intern will collaborate with engineers, document findings, and deliver a reusable monitoring solution and handover package.

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.