Top Tech Jobs & Startup Jobs in Singapore

Develops semiconductor metrology and inspection solutions to improve product quality and manufacturing yield. Uses defect analysis, data analytics, statistical process control, sampling methodologies, and designed experiments to identify process deviations and root causes. Collaborates with engineers, equipment suppliers, and manufacturing teams to qualify and optimize tools, improve detection, reduce variability and costs, and increase equipment availability. Provides fab recommendations, supports tool maintenance and recovery, and trains engineering personnel.

Coordinates process improvements for NAND Flash production, focusing on yield, quality, reliability, and output. Responsibilities include designing and analyzing experiments, investigating yield and quality issues, interpreting complex fab data, optimizing processes, communicating module issues, and leading cross-functional engineering initiatives. The role collaborates with production, process and equipment engineering, industrial engineering, technology development, and global partner teams while using AI-assisted tools to improve efficiency and operational outcomes.

Supports an AI-enabled procurement analytics and process optimization project within global front-end materials procurement. Develops dashboards, reporting tools, procurement metrics, and data visualization solutions; analyzes supplier, sourcing, capacity, and supply chain data; identifies risks and optimization opportunities; maps workflows; and recommends process simplification and automation. The intern also explores Generative AI and Agentic AI applications while collaborating with global stakeholders and contributing to procurement visibility, operational efficiency, and decision-making improvements.

The Principal Engineer leads wet process development for NAND memory technology, driving experiments, cross-functional collaboration, and innovation in process solutions.

Design, develop, test, and validate embedded firmware subsystems for SSD products. Create unit and functional tests, debug firmware, ensure performance, reliability, and quality, coordinate cross-functional teams, mentor engineers, and integrate AI-assisted tools to improve development efficiency.

Lead the NAND product development team, focusing on driving product development strategies, cross-functional collaboration, and adoption of AI-enabled workflows to enhance performance and execution.

The DMTS is a technical authority in NAND dry etch processes, responsible for developing and mentoring, while addressing complex integration challenges.

Lead design and deployment of agentic AI for manufacturing planning and operations. Build multi-agent systems combining LLM reasoning and optimization (MIP, heuristics, simulation), integrate agents with data pipelines and enterprise systems, and deliver solutions for capacity planning, production flow optimization, and decision automation. Partner with planning, operations, data engineering, and MLOps teams to translate domain requirements into deployable AI workflows and reusable orchestration frameworks.

Lead NAND-CMOS device development: define and execute silicon experiments, set transistor targets and models, partner with TCAD and Design, create electrical test structures, ensure reliability and yield with Manufacturing, mentor junior engineers, and leverage AI/Agent-AI tools to automate workflows and improve device performance and cost.

The Staff Engineer supports advanced NAND technology deployment by optimizing wet processes, managing experiments, and collaborating cross-functionally to enhance yield and quality.