Top Tech Jobs & Startup Jobs in Singapore

Define and develop reliability stress tests and qualification plans for HBM products; drive DPM reduction and root-cause analysis using EFA/PFA; support process conversions and HVM, manage qualification execution and risk, collaborate cross-functionally, and apply AI/ML to reliability datasets to improve test flows and productivity.

Lead water and waste construction engineering across full project lifecycle for semiconductor fabs. Review designs, resolve construction issues, manage cost/schedule/risk, coordinate contractors/consultants, support commissioning, sustainability, and standardization of best practices while using AI-assisted tools to optimize performance.

Designs and delivers technical and AI-focused training: conduct learning needs analyses, develop course materials, facilitate sessions, measure training effectiveness, apply AI/automation for improvements, and collaborate globally with workforce development partners and subject matter experts.

The Principal Engineer will lead NAND process modules, define specifications, resolve issues, optimize performance, innovate materials, and drive technology transfer.

The Senior Engineer will optimize global manufacturing engineering operations through standardization, efficiency improvement, and effective collaboration across teams and sites.

Designs and implements smart warehouse automation (ASRS, conveyors, RFID) and integrates WMS, AI-driven analytics, OCR/barcode receiving, and digital twins. Supports preventive and predictive maintenance, troubleshooting, documentation, dashboards, and cross-functional deployment to optimize material flow and just-in-time delivery.

Lead the execution of validation runs, perform advanced analysis and debugging, mentor junior engineers, and develop test programs for HBM validation in a high-pressure environment.

Design, build, and deploy large-scale ML and GenAI systems: train/fine-tune LLMs on multi-GPU clusters, optimize distributed training and GPU performance, develop autonomous AI agents and data pipelines, implement CI/CD for ML solutions, and collaborate with data scientists and engineers to productionize AI applications for manufacturing.

Perform cross-section analysis and SEM inspection to ensure production quality. Utilize FIB for TEM sample preparation, identify defects, and collaborate with engineering teams for efficient production. Maintain documentation of analytical findings.

Lead a global multi-discipline facilities engineering team for semiconductor water and waste systems across U.S. and Asia. Oversee design, construction, operations, and sustaining activities for greenfield fabs; drive standardization, reliability, sustainability, cost control, capacity planning, and continuous improvement while mentoring staff and collaborating with cross-functional stakeholders.