Top Engineering Jobs in Singapore

The MTS leads initiatives in NAND Advanced Thin Films, performs complex experiments, mentors engineers, and ensures continuous process improvement and technology transfer.

The technician oversees the UPW and WW systems operations, ensuring maintenance, quality control, safety compliance, and project collaboration, focused on system improvements and regulatory adherence.

The role involves developing and optimizing NAND manufacturing processes, collaborating on technology innovations, managing experiments, and leading initiatives for improvement.

The role involves supporting the transition of new memory packaging technologies to manufacturing, collaborating with teams, and applying engineering methods.

The Workforce Development Engineer analyzes, designs, and develops training programs to enhance technical skills, focusing on AI and effective learning methods. They improve training effectiveness through data evaluation and collaborate with global teams to align initiatives.

This role involves developing and executing reliability test flows, managing qualification processes, analyzing device issues, collaborating on process conversions, and promoting innovation in product engineering within cross-functional teams.

The role involves developing wafer-level process conditions, enhancing equipment capabilities, advocating for new materials, ensuring quality improvements, and facilitating collaboration across teams.

Micron seeks an Energy Procurement Manager to lead energy sourcing strategies, manage regulatory policies, and build external partnerships to optimize energy costs and meet carbon-free goals.

Develop analytics, operations-research and machine-learning solutions and web applications to improve semiconductor manufacturing efficiency and scheduling. Manage requirements, stakeholders, and delivery; collaborate across teams; integrate AI-assisted tools; and support continuous improvement in capacity, cycle-time, and scheduling optimization.

Support and optimize site inventory and production scheduling using data analytics. Develop Python/SQL programs, create visual reports, collaborate across engineering teams, and apply AI-assisted tools to improve line inventory performance and scheduling logic.