Top Tech Jobs & Startup Jobs in Singapore

Supports computational chemistry and AI/ML projects by modeling reaction pathways, molecular behavior, catalytic mechanisms, and chemical properties. Prepares datasets, runs DFT and simulation calculations, evaluates reaction intermediates and transition states, and develops Python-based regression, classification, and neural network models. Cleans data, engineers features, evaluates models, analyzes outputs, documents findings, and collaborates with chemists to translate results into material and molecule design insights.

Supports project planning for a new laboratory setup while applying problem-solving, analytical, organizational, communication, teamwork, and safety skills. Works independently and collaboratively in a semiconductor equipment engineering environment.

Internship opportunity with Applied Materials in Singapore. The posting provides company, workplace, benefits, and employment information but does not specify a particular team, discipline, project, or day-to-day responsibilities.

Optimize chemical vapor deposition recipes and settings to improve film thickness, uniformity, and stress while increasing throughput and reducing waste. The intern will analyze process limitations, design targeted experiments, apply statistical data analysis, and refine parameters with engineering teams to establish robust, repeatable deposition processes. Familiarity with thin-film deposition, vacuum systems, semiconductor manufacturing, DoE software, and laboratory safety is expected.

Supports customer and commercial transactions, including quotes, orders, RMAs, warranty claims, billing, invoice reconciliation, accounts receivable follow-ups, delivery coordination, and parts expediting. Resolves delivery holds and invoice disputes, monitors overdue or obsolete parts, assists with system testing and basic issue resolution, maintains customer master data and entitlement compliance, and responds professionally to customer inquiries while meeting compliance procedures and team KPIs.

Manage manufacturing readiness, technology transfer, production ramp schedules, deliverables, and risks for a next-generation semiconductor line. The role coordinates engineering, operations, supply chain, pilot teams, vendors, and contract manufacturers, while supporting technical and quality reviews. It requires experience with consumer product development, NPI stages, manufacturing KPIs, issue closure, semiconductor processes, and factory-side execution. Travel between Singapore and the USA may reach 15%.

Coordinates customer order fulfillment for semiconductor manufacturing equipment, translating sales orders into delivery commitments and managing forecasts, bookings, shipments, configuration changes, non-standard requests, RMAs, and customer communications. Partners with product, engineering, operations, manufacturing, and account teams to resolve booking or revenue issues, maintain commitments, complete booking documentation, and escalate problems when necessary.

Supports semiconductor process and equipment performance at customer cleanroom sites. Responsibilities include installations, system diagnosis, service and repair, process development, DOE experimentation, statistical data analysis, reporting, troubleshooting, root cause analysis, and resolving customer product issues. The role collaborates with customers, R&D, and internal stakeholders to improve process stability, equipment uptime, and manufacturing yield.

Develops, optimizes, and qualifies BEOL optical processes for semiconductor manufacturing. Uses DOE, RCA, hardware characterization, experimentation, and data analysis to improve yield, performance, and reliability. Collaborates with process, integration, device, quality, reliability, customer, vendor, and R&D teams to resolve technical issues, support milestones, implement mitigations, and document complex engineering experiments across multiple products.

Analyze global logistics, spend, invoice, and operational data to identify cost drivers, trends, anomalies, and optimization opportunities. Develop and maintain Tableau dashboards, automate reporting, support cost-to-serve models, and contribute to process mining and business intelligence initiatives using tools such as Celonis, Databricks, SAP, and Tableau. Collaborate with logistics teams worldwide, translate business requirements into analytics solutions, and present actionable findings to stakeholders.