Top Tech Jobs & Startup Jobs in Singapore

Lead complex semiconductor Assembly and Test manufacturing scenario studies, cost models, and financial analyses. Partner with Operations, Engineering, Supply Chain, and Finance leaders to evaluate capacity, competitiveness, network optimization, and technology-transition decisions. Improve analytical processes and standardize methodologies while delivering timely, high-quality recommendations. Use Excel, Power BI, SQL, data analytics, and AI-enabled tools to automate workflows and improve cost-study efficiency.

Lead development and optimization of advanced wafer-level packaging and stacking equipment. Drive equipment capability, process improvements, cost reduction, and roadmap planning for post-probe wafer/die processing. Collaborate across process, test, product engineering, and quality teams to transition designs from R&D to high-volume production and apply data analysis, SPC/DOE, and automation to improve hardware maturity.

Manufacturing Equipment Engineering Intern supporting semiconductor manufacturing teams with process improvement, equipment optimization, yield and quality analysis, root cause investigations, and continuous improvement. The role involves analyzing production data, developing data-driven engineering recommendations, collaborating cross-functionally, and using AI, automation, advanced analytics, and digital manufacturing tools. Interns will produce technical documentation, project findings, improvement recommendations, and stakeholder presentations.

Mechanical Engineering Intern supporting a semiconductor facilities project focused on exhaust plume detection, characterization, mitigation, and energy efficiency. Responsibilities include collecting engineering data, analyzing plume behavior using thermodynamics, heat transfer, and fluid mechanics, evaluating detection and reduction methods, preparing engineering documentation, and presenting recommendations. The intern will use Excel, potentially AutoCAD, and AI-enabled tools while gaining experience with industrial exhaust and facilities mechanical systems.

Industrial Engineering Intern supporting workflow analysis, process mapping, data analysis, and productivity improvements within planning and warehouse operations. The intern will identify inefficiencies, develop and test prototype digital solutions or MVPs using tools such as Python, Power BI, UiPath, and Microsoft 365, evaluate results, incorporate stakeholder feedback, and present recommendations. AI-enabled tools may be used to support documentation, workflow analysis, automation, and solution development.

Full-time intern developing an AI-enabled predictive analytics framework for SSD test equipment in a semiconductor manufacturing environment. Responsibilities include extracting, cleansing, and analyzing engineering data; building equipment health dashboards; performing statistical analysis; creating anomaly detection methods; identifying predictive maintenance opportunities; documenting results; and presenting recommendations. The role involves Python or SQL, data visualization, AI and machine learning concepts, equipment reliability, and collaboration with cross-functional engineering teams.

Own the AI product vision, strategy, roadmap, and lifecycle across procurement and planning. Lead discovery, requirements, backlog prioritization, data-readiness assessments, and cross-functional delivery from proof of concept through production adoption. Partner with data scientists, data engineers, executives, procurement teams, and external stakeholders to develop AI, generative AI, and agentic solutions that improve cost efficiency, productivity, decision-making, and business-process automation.

Leads HBM product engineering and media health manufacturing activities, including test-flow development, validation, yield improvement, reliability, circuit debugging, test coverage optimization, cost reduction, and DFT strategy. Manages technical projects, makes risk and prioritization decisions, mentors engineers, and collaborates with manufacturing, design, technology development, quality, and reliability teams to deliver next-generation HBM products.

Design, build, and deploy production AI applications for semiconductor manufacturing. Responsibilities include developing full-stack machine learning solutions, APIs, web applications, data pipelines, LLM and agentic AI capabilities, analytics, and integrations with robotics, automation, control systems, and MES platforms. The role also leads deployment, observability, CI/CD, model evaluation, responsible AI, optimization, testing, mentoring, and technical documentation across global manufacturing environments.

Leads the architecture and delivery of production AI products for autonomous semiconductor manufacturing. Responsibilities span data engineering, machine learning, GenAI, full-stack applications, robotics integration, digital twins, simulation, and edge-to-cloud deployment. The role also owns CI/CD, observability, model evaluation, Responsible AI, performance optimization, technical mentorship, and cross-functional delivery across software, manufacturing, robotics, and infrastructure teams.