Top Tech Jobs & Startup Jobs in Singapore

Maintain and audit fab capacity models, apply industrial engineering and statistics for scheduling and production planning, coordinate cross-functional projects, evaluate scenario impacts, support capital and product-introduction planning, and drive continuous improvement using data and AI-assisted tools.

Lead and manage New Product Introduction (NPI) activities as a Product Owner, collaborating with cross-functional teams to achieve business objectives, ensuring timely product start-up, and owning the product lifecycle from NPI to EOL.

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.

The Staff Contract Analyst prepares tenders, develops project proposals, manages budgets, negotiates contracts, and maintains supplier relationships while overseeing project progress and ensuring compliance with technical standards.

Join Micron as a Data Scientist to apply data analysis and machine learning expertise toward innovations in memory, storage, AI, and related products. The posting emphasizes company mission, inclusion, and application process; specific role responsibilities and qualifications are not listed.

Lead development of reliability stress flows, test plans, and qualification execution for HBM products. Drive DPM reduction via optimized test strategies, perform root-cause analysis (EFA/PFA), recommend process conversions for HVM, manage risk with product leads, mentor engineers, and collaborate cross-functionally with fab, design, and quality teams.

The Senior Manager, Strategy Lead (Quality Systems) leads AI-driven business transformation initiatives in manufacturing, partnering with stakeholders to drive solutions and optimize processes.

Develop and apply industrial engineering forecasting models for fab utilities and metrics, analyze scenario impacts, coordinate stakeholders and global sites, communicate risks to management, pursue improvement and automation projects, and responsibly use AI-assisted tools to boost productivity and quality.

The role involves validating and characterizing advanced NAND products using silicon validation techniques, automation, and applied AI/ML methods. Responsibilities include designing validation flows, conducting failure analysis, and improving test efficiency.

As a Computer Vision Engineer, you will develop image processing solutions, apply machine learning techniques, and collaborate on engineering projects to enhance manufacturing innovation.