Top Tech Jobs & Startup Jobs in Singapore

Owns development, qualification, and deployment of advanced semiconductor metrology applications for 3D NAND process development. The role focuses on FIB and complementary techniques such as AFM, SEM, and WLI, while evaluating next-generation systems, developing technology roadmaps, partnering with suppliers, and applying AI, machine learning, and data analytics to improve defect detection, yield, reliability, and manufacturing readiness.

Develop and operate cloud-based data platforms and scalable ETL pipelines for NAND reliability engineering. Analyze large semiconductor and manufacturing datasets using Python, SQL, BigQuery, and PySpark. Develop and deploy AI/ML solutions for failure analysis, anomaly detection, reliability assessment, and engineering decision-making. Collaborate with IT, AI, quality, manufacturing, and engineering teams; communicate technical findings; support customer reliability inquiries; and promote AI-enabled productivity improvements.

Develops and coordinates capacity modeling for Package Development & Engineering. The role aligns engineering tool time and space requirements across manufacturing sites and technology development teams, consolidates EPT, MOR, and UPH improvements, drives capital expenditure savings, and identifies automation opportunities. It also applies AI-assisted tools to improve efficiency, quality, productivity, and decision-making.

Drives semiconductor product lifecycle execution, new product introduction, inventory and material health, cost reduction, operational readiness, governance, and continuous improvement. Leads cross-functional initiatives across engineering, manufacturing, planning, supply chain, quality, and business teams. Develops analytics, dashboards, automation, AI-enabled applications, and decision-support tools to improve operational performance, risk detection, execution speed, and business outcomes.

Designs, specifies, installs, commissions, and optimizes high-purity chemical, slurry, and gas delivery systems for semiconductor manufacturing facilities. Responsibilities include engineering calculations, drawings, code compliance, construction oversight, inspections, safety and risk management, vendor coordination, system testing, troubleshooting, documentation, training, and continuous improvement. The role works across office and construction-site environments and may involve occasional travel for factory acceptance testing and vendor qualification.

Lead end-to-end NAND product development from pre-silicon planning through qualification and customer samples. Own development schedules, coordinate cross-functional engineering, fabrication, assembly, test, supply chain, and business teams, and drive system-level NAND integration into SSD applications. Lead technical reviews, capability readiness, complex problem resolution, and execution decisions. Use AI-enabled tools and automation to improve engineering productivity, quality, and development outcomes.

Owns AI-driven cost-reduction solutions across procurement, facilities, construction, and tool-install processes. Partners with data scientists and engineers to identify use cases, develop business cases, prioritize projects, coordinate global implementation, and measure financial and operational impact. Requires strong analytical, communication, relationship management, and cross-functional leadership skills, with experience in cost initiatives within operations or procurement, preferably in semiconductor construction and tool-install environments.

Supports program management for a semiconductor fabrication conversion and new product introduction. Responsibilities include developing project plans, tracking milestones, assessing manufacturing readiness, identifying risks, analyzing engineering and manufacturing data, creating dashboards, and preparing management communications. The intern collaborates with engineering and manufacturing teams while gaining experience in semiconductor processes, project planning, risk management, stakeholder coordination, and process improvement.

Leads enterprise digital transformation across semiconductor Assembly and Test operations, focusing on space and utilities planning, automation, AI, analytics, and operational optimization. Develops transformation strategies, business cases, roadmaps, planning tools, dashboards, and value realization frameworks. Partners with global Operations, Engineering, Facilities, IT, Supply Chain, and planning teams to deliver scalable solutions, manage stakeholders, drive adoption, and improve capacity utilization, productivity, throughput, and executive decision-making.

Owns the identification, prioritization, and implementation of AI solutions that reduce costs across procurement, manufacturing, planning, and program management. Collaborates with data scientists, data engineers, and global business teams to develop business cases, validate ROI, monitor financial and operational impact, and establish new AI use cases. Requires strong cost-project experience, analytical ability, communication skills, and cross-functional leadership, preferably in the semiconductor industry.