Top Tech Jobs & Startup Jobs in Singapore

Analyze semiconductor manufacturing data to identify yield detractors, reduce process variation, and improve device yield. Build data pipelines and automated processes using data from SQL databases, sensors, and fabrication tools. Apply statistical modeling, machine learning, and DOE analysis to solve production issues and support root cause investigations. Create dashboards and reports with visualization tools, collaborate with process engineering teams, and responsibly use AI-enabled tools to improve manufacturing outcomes.

Develops and supports security firmware for SSD products, serving as the primary customer escalation point. Responsibilities include enabling storage security features, debugging firmware failures, performing root-cause analysis, implementing and validating firmware fixes, responding to vulnerabilities, and supporting compliance certifications. The role also manages customer and internal stakeholders, produces technical documentation, maintains issue records, and contributes to team development and responsible AI tool adoption.

Conduct electrical failure and qualification data analysis for 3D NAND memory devices. Define and manage NAND qualification plans, perform risk assessments, investigate rejected devices to identify failure mechanisms, and coordinate corrective actions with Research and Development and Product Engineering teams. Assess reliability and customer risk while leveraging AI tools to automate reporting, defect classification, and root cause analysis.

Supports physical failure analysis of memory products through fault isolation, de-capsulation, circuit edit, and failure characterization. Investigates defect locations, failure mechanisms, electrical failure modes, device physics, and fabrication processes to identify root causes and improve yield, quality, and reliability. Collaborates with engineering, manufacturing, process integration, and quality teams, documents technical findings, maintains laboratory readiness and safety, and contributes to continuous improvement and AI-enabled workflow enhancements.

Five-month procurement operations internship focused on AI-enabled analytics and process transformation. The intern will analyze procurement, inventory, and supply-chain data; develop dashboards, tracking tools, AI or automation prototypes; identify risks and improvement opportunities; review workflows; and present project outcomes. The role provides exposure to procurement systems, inventory analysis, supplier risk, data visualization, Agentic AI, robotic process automation, and cross-functional collaboration.

Leads governance, compliance, continuous improvement, and digital transformation for global frontend capital management processes. Responsibilities include capital forecasting, funding and savings cycles, reporting, process standardization, dashboard development, analytics, automation, and cross-functional program leadership. Partners with planning, finance, procurement, facilities, and business stakeholders to improve data quality, operational efficiency, adoption, and decision-making.

Leads strategic programs enabling scalable engineering execution aligned with product roadmaps. Owns PSE’s AI strategy, drives AI-enabled tools and future-of-work initiatives, establishes KPIs, improves organizational structures and processes, and provides executive-ready insights. Partners with global engineering leaders to close capability gaps, strengthen cross-functional execution, and improve organizational effectiveness across complex, matrixed environments.

Manage supplier supply assurance, purchase orders, forecasts, capacity planning, lead times, safety stock, supply allocation, and shortage resolution across a global manufacturing network. Lead supplier reviews, negotiate capacity and lead times, monitor delivery metrics, manage product and process end-of-life planning, update supply systems, and drive process improvements using AI and operational best practices.

Analyzes logistics performance, transportation costs, inventory flows, service levels, and operational KPIs. Leads global logistics transformation projects, develops dashboards and reports, identifies cost-saving opportunities, and implements AI, automation, and digital workflow solutions. Manages logistics systems including SAP and transportation platforms, gathers requirements, coordinates testing and deployments, maintains documentation, supports training, and drives process standardization, governance, continuous improvement, and logistics network optimization.

Perform electrical characterization and failure analysis of HBM products, distinguishing package and device failures. Troubleshoot test equipment, analyze reliability data, document failure mechanisms, coordinate physical analysis, maintain FA databases, support lab users, train engineers, and review quality and reliability requests. Apply AI to improve analysis accuracy, reduce test time, and increase throughput.