Top Tech Jobs & Startup Jobs in Singapore

Develop an IoT-based monitoring and anomaly-detection solution for photolithography equipment in a semiconductor manufacturing environment. The intern will study equipment behavior and sensor signals, build prototypes for data ingestion, processing, analytics, and visualization, and apply Python, machine learning, and signal-processing techniques. Responsibilities include integrating equipment or process data, analyzing imaging, acoustic, environmental, motor, or material-usage data, documenting results, and presenting a final technical report.

Lead advanced 3D NAND process integration and technology roadmap development in an R&D environment. Drive end-to-end technology validation, architecture and process optimization, characterization, debugging, yield learning, and cross-functional execution. Apply data analytics, AI-assisted methods, and modeling to solve scaling challenges. Collaborate across device, probe, test, design, and operations teams while advancing innovation through process improvements, patents, and publications.

Leads complex global frontend planning initiatives from strategy through implementation and adoption. Improves planning processes, systems, data quality, analytics, automation, and decision support while influencing cross-functional stakeholders across manufacturing, engineering, supply chain, finance, and digital teams. Provides structured analysis, requirements, recommendations, governance, risk management, change adoption, industry benchmarking, mentoring, and technical leadership without direct authority.

Intern will develop software, data pipelines, integrations, dashboards, automation, and AI-enabled solutions for photolithography engineering in semiconductor manufacturing. Responsibilities include connecting equipment, manufacturing systems, databases, and engineering platforms; applying analytics and machine learning; and using modern software practices such as version control, testing, deployment, and maintainable architecture. The intern will collaborate with multidisciplinary engineering teams and deliver production-quality applications, documentation, reusable code, and a final technical presentation.

Manage strategic supplier relationships, category sourcing, RFx processes, contract negotiations, supplier performance, cost optimization, risk mitigation, and procurement compliance. Partner with cross-functional and global teams while using analytics, digital tools, and AI technologies to improve procurement efficiency and decision-making. Support budgeting, CAPEX planning, savings tracking, supplier audits, and continuous improvement initiatives.

Designs, develops, deploys, and governs AI-powered products, intelligent workflows, and autonomous multi-agent systems for HR and People organizations. Builds integrations across Workday, ServiceNow, Microsoft platforms, APIs, and enterprise data sources. Develops reusable AI frameworks, orchestration, tool calling, retrieval, monitoring, and evaluation capabilities while ensuring security, privacy, compliance, and responsible AI standards. Partners with business and technology leaders to identify transformation opportunities and deliver scalable solutions across recruiting, onboarding, employee services, learning, talent management, and workforce planning.

Analyzes semiconductor photo manufacturing data to identify factors affecting train size, throughput, cycle time, tool utilization, and reticle availability. The intern will build predictive or simulation models, dashboards, and recommendations to optimize manufacturing performance and factory output. Responsibilities include collecting and validating data, analyzing historical trends, evaluating optimization scenarios, and presenting findings.

Manage the application lifecycle for software systems supporting highly automated semiconductor manufacturing. Analyze business and technical requirements, develop and maintain software solutions, enforce secure development practices, conduct testing and training, apply updates and patches, monitor systems, prevent downtime, and use AI, automation, and analytics tools to improve delivery and operational efficiency.

Drive dry etch process and equipment performance using advanced data analytics, automation, machine learning, statistical modeling, and generative AI. Lead cross-functional initiatives integrating manufacturing, equipment, process, and business data. Develop scalable analytics solutions to improve productivity, tool utilization, cycle time, excursion response, process control, and manufacturing costs. Collaborate with suppliers and internal digital teams to evaluate and deploy AI technologies for semiconductor manufacturing.

Develop end-to-end data science and digital twin solutions for manufacturing, planning, and supply chain operations. Responsibilities include business problem framing, data analysis, mathematical optimization, discrete event simulation, software and pipeline development, API and UI creation, deployment, user adoption, benchmarking, and continuous improvement across global manufacturing sites.