Top Engineering Jobs in Singapore

Lead data-driven process and test integration initiatives to improve high-value-bits yield (PG2+). Develop models and monitoring for tool performance, equipment prognostics, and test optimization. Prototype solutions with cross-functional teams, deploy best-known-methods to production, and integrate AI-assisted tools to drive continuous improvement and operational excellence.

The role involves developing reliability test flows, managing qualification plans, driving innovation, mentoring team members, and ensuring project execution through cross-functional collaboration.

Designs and supports chemical and gas delivery systems for semiconductor facilities. Responsibilities include capacity and infrastructure planning, code compliance, equipment startup and integration, critical component specification, contractor and OEM coordination, troubleshooting, SOP and risk assessment improvements, safety compliance, database maintenance, and implementation of AI-augmented or automated process improvements. The role also supports quality management system effectiveness and continuous improvement.

Leads global manufacturing equipment and capacity modeling, optimizing tool utilization, throughput, capital deployment, process flexibility, and equipment repurposing. Analyzes the financial and operational impacts of manufacturing changes, develops benchmarks and reports, and coordinates implementation across manufacturing, engineering, finance, procurement, supply chain, production, and planning teams. The role also explores AI-enabled tools to improve planning, reporting, and optimization.

Develop, maintain, validate, and optimize test programs for Micron SSD products in high-volume manufacturing. Automate test engineering processes with Python, improve test coverage and product quality, analyze test and manufacturing metrics, and collaborate with product, equipment, capacity, and manufacturing teams to improve yields, equipment efficiency, and production output. Apply AI-assisted tools responsibly to enhance engineering effectiveness.

Supports deployment, maintenance, and sustainment of Micron’s process control systems. Executes system change requests across SPC, FDC, recipe management, specifications, MES, shop-floor, and manufacturing application platforms. Ensures accurate updates, data integrity, compliant execution, and reliable manufacturing system operations.

Leads Micron’s HBM Product System Engineering and Media Health Manufacturing team. Responsibilities include manufacturing test-flow development and validation, test coverage optimization, yield improvement, circuit debugging, reliability qualification, cost and test-time reduction, root-cause resolution, DFT strategy, and cross-functional product development. The role also involves technical decision-making, innovation, project leadership, mentoring, and team development for next-generation HBM products.

As an Equipment/Production Engineer, you will oversee new tool installations, maintain equipment, develop maintenance schedules, and drive continuous improvement in manufacturing processes, focusing on reliability and uptime.

Develop, deploy, and support wafer probe equipment and processes for global semiconductor manufacturing, with emphasis on HBM. Evaluate equipment and probe cards, establish standardized processes, engage suppliers, analyze manufacturing data, define equipment specifications, resolve production issues, and support high-volume manufacturing integration. The role collaborates with global manufacturing, test, process engineering, and quality teams while driving continuous improvement and responsible use of AI-enabled tools.

Perform die-level electrical failure analysis for NAND products to identify root causes and drive yield, reliability, and quality improvements. Design and execute bench DOE and probe experiments, construct failure models, correlate circuit/layout signatures to process limitations, develop test scripts/methodologies, support NPI and HVM, and collaborate with cross-functional teams to implement corrective actions and continuous improvement, using AI-assisted tools where appropriate.