Top Tech Jobs & Startup Jobs in Singapore

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.

Leads semiconductor manufacturing and equipment capability roadmaps, supplier technology partnerships, global manufacturing strategy, and cross-site productivity initiatives. Improves CVD equipment performance, reliability, throughput, utilization, cycle time, and cost efficiency through continuous improvement, root-cause analysis, technology transfer, and process qualification. Applies AI, machine learning, advanced analytics, and digital manufacturing solutions to optimize equipment and manufacturing operations while mentoring engineers.

Leads 3D NAND process integration and module development from R&D through high-volume manufacturing. Defines specifications, resolves structural, electrical, and reliability issues, optimizes process control and manufacturability, evaluates materials, conducts experiments, analyzes data, coordinates cross-functional teams, and guides technology transfer. The role also provides technical leadership, sets goals and strategy, drives innovation, and generates intellectual property.

Develop and validate an AI-driven root cause analysis tool for semiconductor Chemical Vapor Deposition incident data. The intern will prepare and classify equipment alarms, process-control records, and human-written incident logs; train machine learning or generative AI models; identify recurring failure patterns; conduct correlation studies; and prototype Microsoft Teams integration for incident validation. The role includes data visualization, model validation, root cause analysis, and collaboration with cross-functional engineering experts.

Participate in a five-month project optimizing NAND component test flows through manufacturing data analytics, automation, statistical analysis, machine learning, and enterprise AI. Retrieve, prepare, analyze, and visualize manufacturing data; develop scripts, models, reports, and automation tools; identify product recovery and test-flow improvement opportunities; validate AI-generated outputs; and present documented findings and recommendations. Collaborate with engineers while strengthening technical documentation, communication, and problem-solving skills.

Own end-to-end security validation for SSD firmware across development, qualification, release, and sustaining lifecycles. Architect security validation frameworks, lead automated testing and regression infrastructure, investigate security failures, and drive corrective actions. Collaborate on threat modeling, secure design and code reviews, communicate risks and coverage gaps, and provide technical leadership and mentorship across multiple SSD product generations.

Lead test equipment engineering to improve availability, OEE, and reliability through data analytics, automation, AI-enabled tools, continuous improvement, tester setup/qualification, failure analysis, and team coaching. Support manufacturing test operations, implement fixes, and develop monitoring/visualization dashboards to reduce downtime and enhance productivity.

Leads test development, product engineering, and electrical failure analysis for automotive managed NAND and SSD BGA products across qualification, manufacturing ramp, and customer returns. Develops cost-efficient test strategies, improves yield, test time, and quality, secures test infrastructure, and collaborates with NAND, ASIC, firmware, and test engineering teams. Applies AI tools such as Claude Code and Copilot to automate workflows and data analysis, while communicating project status and technical findings.

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.