Top Tech Jobs & Startup Jobs in Singapore

Model and audit global probe capacity and capital impacts, optimize equipment utilization and tool-level throughput, perform financial and statistical analysis, build automation and AI-enabled tools for planning/reporting, and communicate recommendations and KPIs to manufacturing leaders.

Interns will develop AI-enabled and digital solutions for semiconductor failure analysis workflows. Responsibilities include analyzing laboratory metrics and engineering datasets, creating dashboards and automation tools, exploring AI and knowledge-management applications, collaborating with Test Engineering stakeholders, and presenting project findings. The role provides exposure to electrical and physical failure analysis, semiconductor manufacturing, data analytics, workflow automation, and engineering decision-making.

Five-month internship focused on applying data analytics and machine learning to semiconductor manufacturing data. The intern will query and preprocess large-scale quality datasets, develop models for quality-metric drift detection, perform multivariable analysis and optimization, create visualizations, and automate engineering workflows. Responsibilities include collaborating with engineering teams, documenting results, and presenting recommendations. Relevant backgrounds include engineering, statistics, mathematics, computer science, data science, or another analytics-related discipline.

Develop and deploy machine learning, statistical modeling, and predictive analytics solutions for semiconductor manufacturing and business operations. Analyze large datasets, build scalable data workflows, conduct exploratory and root-cause analysis, and partner with engineering and software teams to operationalize models. Lead analytics projects, communicate insights to technical and business stakeholders, mentor junior data scientists, and ensure responsible, secure, compliant use of AI and data.

Develop and execute functional and design validation flows for advanced NAND devices. Build automation infrastructure, deterministic tests, random sequence generators, and NAND interfaces using C-based programming, Python, and Perl. Apply AI/ML and data analytics to improve failure triage, root-cause analysis, validation coverage, and debugging. Perform electrical failure analysis across digital and analog circuitry, track validation metrics, and collaborate cross-functionally to resolve issues.

Intern will map High Bandwidth Memory sample workflows, clean and analyze manufacturing data, develop predictive models, forecast burn-in resource demand, and build Power BI or Tableau dashboards and automated alerts. The role supports workflow optimization, risk monitoring, process documentation, and stakeholder recommendations across semiconductor planning and reliability operations. Candidates gain experience in predictive analytics, business intelligence, AI-enabled workflows, and manufacturing systems.

Intern will develop and deploy a digital Target Traveler solution for semiconductor Probe operations. Responsibilities include analyzing process flows, defining control requirements, configuring workflows, creating data collection and compliance dashboards, monitoring deviations, and recommending process improvements. The role involves collaboration with engineering, manufacturing, quality, and IT teams while building experience in semiconductor process control, analytics, workflow automation, digital transformation, and AI-enabled manufacturing.

Designs and delivers customized regional talent development solutions, including workshops, learning journeys, interventions, and toolkits. Localizes learning content across cultures, supports high-growth sites and transformation initiatives, activates leadership behaviors and enterprise values, and uses AI to personalize and scale learning experiences. Partners with HR, Talent, and business leaders while operating autonomously in ambiguous environments.

The Electrical Failure Analysis Engineer will lead failure analysis, drive root cause analysis, apply data analytics, and support technology transfer in NAND technology development.

Leads validation strategy and technical direction for advanced HBM products. Responsibilities include defining coverage, debugging silicon and circuit failures, performing electrical failure analysis, interpreting timing-accurate simulations, developing ATE test programs, automating workflows, optimizing test execution, and partnering with design, reliability, and systems teams. The role also mentors engineers, influences cross-functional decisions, presents technical findings, and applies AI-enabled tools to accelerate validation and root-cause analysis.