Top Tech Jobs & Startup Jobs in Singapore

Maintain and improve Micron's Quality Management System (QMS) to ensure compliance with standards (ISO 9001, IATF 16949), coordinate and support audits, close findings, drive continuous improvement and quality projects, monitor KPIs, resolve non-compliances, deploy QMS process changes, leverage AI and RPA tools for efficiency, and manage related cost tracking.

Analyze semiconductor manufacturing, inline, parametric, probe, sensor, and fabrication-tool data to identify yield detractors and reduce defects. Build data pipelines, automate analysis, apply statistical modeling and machine learning, support Design of Experiments, and create dashboards and reports using Dash, Plotly, or Angular. Collaborate with manufacturing, process, equipment, and integration engineers to optimize processes and communicate findings.

Develop an AI-enabled application, analytical model, or automated workflow addressing a semiconductor process or equipment engineering challenge. Analyze manufacturing and engineering data using statistics, machine learning, Generative AI, large language models, visualization, or automation. Test, validate, document, and present the solution, demonstrating potential improvements in yield, quality, cost, productivity, or cycle time.

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.

Optimize and improve semiconductor test processes and yields, resolve process/product deviations, qualify new test equipment and products, drive continuous improvement projects, and develop BI reporting and dashboards. Integrate AI-assisted tools to boost efficiency and share AI-enabled enhancements.

Supports semiconductor HBM reliability, device/package/wafer testing, failure analysis, product debugging, laboratory operations, inventory and logistics, audits, safety compliance, automation, data analysis, and continuous improvement. Uses AI-assisted tools, Power BI, Python, SQL, and manufacturing systems to improve reliability workflows and debug efficiency. Requires rotating day/night shifts, including occasional weekends and public holidays, and collaborates with cross-functional teams while mentoring junior technicians.

Leads electrical engineering and construction for semiconductor fab and cleanroom environments. Oversees power distribution, substations, transformers, UPS, generators, tool power, lighting, grounding, commissioning, energization, safety, change management, and handover. Coordinates with multidisciplinary construction teams, reviews designs and technical submissions, resolves field issues, manages readiness milestones, approves turnover documentation, and supports facilities operations and continuous improvement.

Analyzes and resolves defects in advanced semiconductor manufacturing by characterizing defects, identifying root causes, optimizing wafer fabrication processes, evaluating equipment and materials, improving yield and process capability, and implementing corrective actions. The role collaborates across engineering and manufacturing teams, investigates process deviations, evaluates product performance, and applies AI-assisted tools to improve quality, efficiency, and continuous improvement.

Characterize and optimize advanced 3D NAND memory cells and arrays through device-physics analysis, electrical test-data analysis, AI-assisted workflows, and failure-mechanism investigation. The engineer will contribute to NAND architecture and process development while collaborating with device, integration, design, product, reliability, and manufacturing teams to improve performance, reliability, scaling, and technology qualification.

Maintains and supports semiconductor process control systems, including SPC, FDC, R2R, recipe management, MES, MAM, and specification platforms. Executes approved system changes, validates automation behavior and equipment communication, monitors alarms and data integrity, troubleshoots first-line issues, and escalates abnormalities. Maintains governance documentation and collaborates with process, equipment, manufacturing, automation, and quality engineering teams. Requires the ability to work 12-hour rotating shifts.