Top Tech Jobs & Startup Jobs

Plans semiconductor manufacturing capacity, equipment layouts, tooling installations, utilities, budgets, and resource allocation. Monitors capacity parameters, identifies bottlenecks, supports mitigation and cost-saving activities, coordinates tool installation readiness, and collaborates cross-functionally. Applies AI concepts, data mining, and continuous improvement methods to improve workload efficiency and manufacturing output.

Drive enterprise AI transformation by identifying automation opportunities, developing and deploying AI agents, redesigning business processes, integrating AI with enterprise systems, and measuring productivity improvements. The role also leads cross-functional AI programs, promotes adoption and training, supports responsible AI governance, and advises leadership on AI strategy and workforce transformation.

Establishes and improves semiconductor equipment conditions and process capabilities, reduces production costs, manages equipment improvement projects, configures process parameters, evaluates new equipment and materials, analyzes abnormalities, and applies AI-enabled tools and data-driven insights to improve operational efficiency and support continuous improvement.

Develops and optimizes MRDA inspection applications, recipes, defect detection methods, and process baselines. Leads defect analysis, root-cause investigations, yield improvement, statistical analysis, and process optimization. Qualifies new inspection technologies, algorithms, and equipment while supporting SPC, FDC, RMS, APC, and defect traceability systems. Collaborates with manufacturing, process development, quality teams, and suppliers to resolve technical issues and deploy smart manufacturing solutions using machine learning, computer vision, and advanced analytics.

The QMS Manager will oversee quality management system development, execution, and maintenance for process improvement toward zero defects while also mentoring the team and liaising with customers and internal departments.

Establishes and improves semiconductor manufacturing processes, parameters, capabilities, and cost efficiency. Manages process improvement projects, evaluates new equipment and materials, analyzes abnormalities, and drives corrective actions. Uses AI-enabled tools and data-driven insights to improve operational efficiency and continuous improvement initiatives.

Establishes and improves semiconductor equipment condition, process capability, and production cost efficiency. Manages equipment projects, configures process parameters, evaluates new equipment and materials, analyzes abnormalities, and implements corrective improvements. Uses AI-enabled tools and data-driven insights to improve operational efficiency and support continuous improvement in high-bandwidth memory debond manufacturing.

Leads a team of process integration engineers developing new technology nodes and optimizing DRAM process flows. The role oversees technical projects, fab output, product quality, performance improvement, cross-functional collaboration, and engineer development while adopting AI agent tools to improve competitiveness.

Lead layout planners and develop strategies for fab expansion, technology-node migration, space optimization, tool installation, and operational efficiency. Manage and develop the layout team, coordinate cross-functional fab and laboratory planning, support tool move-in and move-out activities, establish long-term space strategies, improve standardized planning processes, and implement AI-enabled systems for intelligent space planning and management.

Develop and implement advanced wet-process engineering methods for semiconductor manufacturing. Apply AI to improve engineering processes, analyze performance, troubleshoot technical issues, collaborate across teams, and ensure safety and quality standards. Maintain knowledge of industry advancements and recommend improvements to efficiency and performance.