Top Tech Jobs & Startup Jobs in Singapore

The Yield Analysis Engineer will drive yield improvement activities, develop innovative NAND technologies, perform statistical analysis, and collaborate with cross-functional teams.

The Senior Engineer focuses on CVD/Diffusion process development for NAND technology, executing experiments, tool troubleshooting, and supporting manufacturing process transfer.

Develop and test SSD firmware subsystems to meet performance, endurance, capacity, functionality, and reliability requirements. Create firmware unit and functional tests, debug embedded C code, collaborate cross-functionally, report status to management, and help develop team technical capability and communication.

Supports integration of advanced HBM products into customer systems through technical problem-solving across product development, system engineering, semiconductor processing, packaging, failure analysis, qualification, and testing. The role integrates customer requirements into internal design and manufacturing processes, participates in technical reviews and debugging, collaborates with engineering and manufacturing teams, and contributes to yield improvement and customer qualification programs. AI adoption and regular use are required.

Analyze semiconductor manufacturing data to identify yield detractors, reduce process variation, and improve device yield. Build data pipelines and automated processes using data from SQL databases, sensors, and fabrication tools. Apply statistical modeling, machine learning, and DOE analysis to solve production issues and support root cause investigations. Create dashboards and reports with visualization tools, collaborate with process engineering teams, and responsibly use AI-enabled tools to improve manufacturing outcomes.

Develops and supports security firmware for SSD products, serving as the primary customer escalation point. Responsibilities include enabling storage security features, debugging firmware failures, performing root-cause analysis, implementing and validating firmware fixes, responding to vulnerabilities, and supporting compliance certifications. The role also manages customer and internal stakeholders, produces technical documentation, maintains issue records, and contributes to team development and responsible AI tool adoption.

Conduct electrical failure and qualification data analysis for 3D NAND memory devices. Define and manage NAND qualification plans, perform risk assessments, investigate rejected devices to identify failure mechanisms, and coordinate corrective actions with Research and Development and Product Engineering teams. Assess reliability and customer risk while leveraging AI tools to automate reporting, defect classification, and root cause analysis.

Supports physical failure analysis of memory products through fault isolation, de-capsulation, circuit edit, and failure characterization. Investigates defect locations, failure mechanisms, electrical failure modes, device physics, and fabrication processes to identify root causes and improve yield, quality, and reliability. Collaborates with engineering, manufacturing, process integration, and quality teams, documents technical findings, maintains laboratory readiness and safety, and contributes to continuous improvement and AI-enabled workflow enhancements.

Five-month procurement operations internship focused on AI-enabled analytics and process transformation. The intern will analyze procurement, inventory, and supply-chain data; develop dashboards, tracking tools, AI or automation prototypes; identify risks and improvement opportunities; review workflows; and present project outcomes. The role provides exposure to procurement systems, inventory analysis, supplier risk, data visualization, Agentic AI, robotic process automation, and cross-functional collaboration.

Intern will develop AI-enabled procurement analytics, dashboards, and automation solutions. Responsibilities include analyzing procurement workflows, inventory, supply-chain risks, and material indicators; improving processes; applying Agentic AI, visualization, and robotic process automation; and collaborating with global stakeholders. Deliverables include an analytics solution, automation prototype, workflow review, final report, and presentation.