Top Engineering Jobs in Singapore

The Senior Engineer will optimize global manufacturing engineering operations through standardization, efficiency improvement, and effective collaboration across teams and sites.

The role involves functional and design validation of NAND products, including automation, failure analysis, and applying AI/ML techniques to improve efficiency. Responsibilities include developing test cases and performing root-cause analysis.

This role involves optimizing test coverage, validating new products, improving yields, driving innovation, mentoring others, and managing projects within a cross-functional team.

The role involves product development and validation for HBM products, optimizing test coverage, improving yields, supporting new designs, and collaborating with cross-functional teams.

The role involves integrating AI tools, managing new product introductions, analyzing yields, and collaborating across teams in semiconductor engineering.

The role involves coding reliability test programs, analyzing data, collaborating with cross-functional teams, and promoting innovation in HBM technology.

Lead technical management for ride and show control systems, overseeing specification, design, fabrication, installation, testing, vendor management, budgets, schedules, and contract scope for attractions to ensure safety and acceptance to Universal standards.

Lead water and waste construction engineering across full project lifecycle for semiconductor fabs. Review designs, resolve construction issues, manage cost/schedule/risk, coordinate contractors/consultants, support commissioning, sustainability, and standardization of best practices while using AI-assisted tools to optimize performance.

Lead electrical construction engineering for semiconductor fab projects across design, construction, commissioning, and handover. Ensure compliance with standards, manage cost/schedule/risk, resolve technical construction issues, coordinate contractors and consultants, support sustainability and BKMs, and apply AI tools to improve engineering analysis and project delivery.

Lead mechanical construction engineering for global semiconductor facility projects across design, construction, commissioning, and operations. Provide technical support, review designs, manage scope/schedule/cost/quality, resolve construction issues, support estimating and business cases, coordinate cross-functional teams, drive continuous improvement and sustainability, and integrate AI-assisted tools into engineering workflows.

Lead chemical and specialty gas construction engineering across design, construction, commissioning, and handover for large-scale semiconductor fab projects. Validate designs, resolve construction and installation issues, manage cost/schedule/risk, coordinate contractors/consultants, support root-cause analyses and BKMs, and apply AI tools to improve engineering analysis and project execution.

The Engineer for Product Development will evaluate new equipment, integrate AI tools for efficiency, and manage supplier engagement while supporting continuous improvement initiatives.

This role involves developing and implementing strategies to improve RAM quality, manage projects, track performance, and enhance operational efficiency across teams.

Senior engineering role at Adyen focused on building and maintaining payments and financial platform solutions, collaborating cross-functionally, solving large-scale technical challenges, and contributing in-person at the company office.

Lead and scale the Onboarding engineering team responsible for KYC, RFI, and risk orchestration. Hire, develop, and manage engineers and managers; set goals, run performance and compensation processes; drive cross-functional execution with Compliance, Legal, Risk, and Product; and deliver API- and integration-heavy production systems to support global market expansion and automation of onboarding workflows.

Lead Growth engineering: define technical strategy and roadmap, own architecture and system quality, drive delivery practices, ensure production reliability and security, mentor engineers, and collaborate with product and design to build scalable, API- and integration-heavy systems that optimize user acquisition and onboarding.

Lead and scale a Growth engineering organization: recruit and develop engineers and managers, set goals and career paths, run performance and compensation processes, align technical direction with business and regulatory goals, manage cross-functional execution, and deliver API- and integration-heavy, high-traffic systems to drive user acquisition and product adoption.

Lead the Realtime Data Platform team to define a 1–3 year technical roadmap, modernize the core platform for petabyte-scale real-time analytics, partner with product teams to enable data-driven features, scale and structure engineering teams, and serve as a trusted technical advisor across Data and AI initiatives.

Lead strategy, roadmap, and delivery of real-time fraud detection and client-facing risk products. Architect scalable, high-availability systems, drive operational excellence, recruit and develop engineering managers and senior engineers, collaborate with cross-functional teams, and ensure reliability, observability, and cost-efficient real-time decisioning under high load.

Lead and grow a billing engineering team; collaborate with product to design technical solutions; hands-on design, implementation, and code review; ensure high-concurrency, high-availability distributed systems; drive backlog and cross-team collaboration; participate in hiring and engineer development.

Lead the Onboarding engineering team to define technical strategy, architecture, and delivery for KYC/onboarding workflows. Partner with Product and Design to prioritize roadmap, ensure code and design quality, own operational excellence (monitoring, incidents, audits), and drive scalable, secure API- and integration-heavy systems.

Lead a KYC engineering team to design, build, and maintain scalable automation and AI-driven systems for onboarding, risk detection, and fraud prevention. Collaborate with product, ops, and compliance, participate in architecture and code reviews, improve reliability and performance, and mentor junior engineers.

Lead data-driven process and test integration initiatives to improve high-value-bits yield (PG2+). Develop models and monitoring for tool performance, equipment prognostics, and test optimization. Prototype solutions with cross-functional teams, deploy best-known-methods to production, and integrate AI-assisted tools to drive continuous improvement and operational excellence.

Intern will perform data analysis and develop predictive models using machine learning for semiconductor manufacturing datasets, contributing to insights and decision-making.

The intern will study historical process data in NAND technology, analyze process interactions, and gain exposure to integration risk evaluation in semiconductor manufacturing.