Top Engineering Jobs in Singapore

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.

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.

Investigate semiconductor yield and technology issues through electrical and physical failure analysis. Use EMMI, OBIRCH, thermal analysis, SEM, FIB, TEM, nanoprobing, and related methods to isolate failures, determine root causes, and improve memory product yield. Collaborate with engineering and R&D teams on process and design improvements, technology introduction, product qualification, yield ramp, and high-volume manufacturing. Develop analytical methodologies and support continuous improvement initiatives.

Manufacturing Equipment Engineering Intern supporting semiconductor manufacturing teams with process improvement, equipment optimization, yield and quality analysis, root cause investigations, and continuous improvement. The role involves analyzing production data, developing data-driven engineering recommendations, collaborating cross-functionally, and using AI, automation, advanced analytics, and digital manufacturing tools. Interns will produce technical documentation, project findings, improvement recommendations, and stakeholder presentations.

Mechanical Engineering Intern supporting a semiconductor facilities project focused on exhaust plume detection, characterization, mitigation, and energy efficiency. Responsibilities include collecting engineering data, analyzing plume behavior using thermodynamics, heat transfer, and fluid mechanics, evaluating detection and reduction methods, preparing engineering documentation, and presenting recommendations. The intern will use Excel, potentially AutoCAD, and AI-enabled tools while gaining experience with industrial exhaust and facilities mechanical systems.

Intern will assess NAND product intrinsic reliability test flows, map tests to datasheet functionality, identify validation gaps, and recommend enhancements. Responsibilities include developing a validation coverage matrix, conducting gap analysis, prioritizing improvements, documenting findings, and exploring AI-enabled validation workflows. The role provides practical exposure to semiconductor device physics, fabrication, product reliability, and collaboration with engineering stakeholders.

Industrial Engineering Intern supporting workflow analysis, process mapping, data analysis, and productivity improvements within planning and warehouse operations. The intern will identify inefficiencies, develop and test prototype digital solutions or MVPs using tools such as Python, Power BI, UiPath, and Microsoft 365, evaluate results, incorporate stakeholder feedback, and present recommendations. AI-enabled tools may be used to support documentation, workflow analysis, automation, and solution development.

Full-time intern developing an AI-enabled predictive analytics framework for SSD test equipment in a semiconductor manufacturing environment. Responsibilities include extracting, cleansing, and analyzing engineering data; building equipment health dashboards; performing statistical analysis; creating anomaly detection methods; identifying predictive maintenance opportunities; documenting results; and presenting recommendations. The role involves Python or SQL, data visualization, AI and machine learning concepts, equipment reliability, and collaboration with cross-functional engineering teams.

Investigate semiconductor yield, quality, and technology issues through electrical and physical failure analysis. Use EMMI, OBIRCH, thermal analysis, SEM, FIB, TEM, and nanoprobing to isolate failures, determine root causes, and improve memory product yield. Collaborate with engineering and R&D teams on process and design improvements, technology introduction, product qualification, yield ramp, and high-volume manufacturing. Develop analytical methods and support continuous improvement initiatives.

Leads HBM product engineering and media health manufacturing activities, including test-flow development, validation, yield improvement, reliability, circuit debugging, test coverage optimization, cost reduction, and DFT strategy. Manages technical projects, makes risk and prioritization decisions, mentors engineers, and collaborates with manufacturing, design, technology development, quality, and reliability teams to deliver next-generation HBM products.