Top Tech Jobs & Startup Jobs in Singapore

Manage network tool utilization strategies, benchmark performance, and optimize manufacturing capacity, equipment deployment, and capital investments. Develop and communicate improvement plans across manufacturing teams, assess capacity impacts from process changes, and collaborate on tool and process roadmaps. Apply AI to improve investment decisions, process flexibility, capacity sharing, and equipment repurposing. Identify discrepancies and drive resolutions in a changing environment.

Own the product backlog and delivery of AI and agentic solutions for procurement and planning. Translate stakeholder needs into requirements, user stories, data requirements, and implementation plans. Collaborate with data scientists and engineers to assess data readiness, develop solutions, and drive products from discovery through deployment, adoption, and value realization. Identify opportunities to improve cost efficiency, productivity, and capital efficiency through AI, automation, and workflow optimization.

Conducts NAND product validation, characterization, bench testing, and electrical failure analysis. The intern analyzes test data, evaluates product changes and failure cases, develops automation scripts, documents methodologies, and presents technical findings. The role provides hands-on exposure to NAND device physics, semiconductor test equipment, product specifications, and engineering problem-solving while collaborating with Product Engineering and cross-functional teams.

Procurement intern supporting strategic sourcing, supplier management, procurement analytics, and process improvement. Responsibilities include analyzing spend, cost, and supplier-performance data; conducting market research and benchmarking; contributing to sourcing projects; developing dashboards and reports; and recommending process efficiencies. The role involves collaboration with Facilities, Engineering, Finance, Operations, and Global Procurement stakeholders.

Leads complex cross-functional planning initiatives across semiconductor manufacturing, supply chain, engineering, finance, and digital teams. Translates ambiguous business challenges into structured analyses, process improvements, system requirements, and actionable recommendations. Drives program execution, stakeholder alignment, data quality, planning-system enablement, automation, analytics, optimization, change adoption, and sustained benefits. Serves as a subject matter expert and mentors others while improving planning capabilities and decision support.

Participate in functional and design validation of advanced NAND products using silicon and simulation platforms. Develop test cases, automation scripts, and engineering tools; analyze performance, timing, and power characteristics; investigate failures through log review and root-cause analysis; and document findings in technical reports and presentations.

The role involves leading finance process intelligence initiatives, enhancing process visibility, driving adoption of process intelligence platforms, and optimizing finance operations through analytics and AI integration.

Develop an AI-enabled optimization engine for wafer test movement configurations, using machine learning and optimization techniques. Analyze historical semiconductor data, benchmark recommendations, build a web application for visualization and comparison, and validate improvements in test time and tester utilization. The role involves collaboration with Automation, Equipment, and Engineering teams and requires a full-time commitment of at least five months.

Intern will develop AI-enabled analytics, automation workflows, dashboards, and software solutions for NAND semiconductor test engineering. Responsibilities include analyzing manufacturing and test datasets, automating test-result analysis and validation, correlating wafer yields, exploring machine learning for predictive insights, and improving test quality, productivity, and engineering cycle time. The role provides hands-on exposure to wafer probe, burn-in, assembly testing, and high-volume semiconductor manufacturing while collaborating with engineering, manufacturing, quality, and data science teams.

Develops and maintains automated validation infrastructure for enterprise SSD interoperability, functionality, and reliability testing. Responsibilities include creating test automation and equipment interfaces, defining validation strategies, troubleshooting SSD and platform integration issues, improving defect detection, documenting methodologies, and collaborating with firmware, hardware, test, and product teams across global locations.