Top Tech Jobs & Startup Jobs in Singapore

As a Global Facilities Standardization Engineer, you'll implement systems that improve performance in Facilities operations, lead standardization projects, and collaborate with cross-functional teams to drive operational excellence.

Leads NAND Flash reliability engineering across test-flow definition, high-volume statistical analysis, electrical failure analysis, product qualification, and reliability risk reduction. Develops targeted stresses, screens, and countermeasures using device physics, circuits, process, and test expertise. Collaborates cross-functionally with fab, design, technology, development, systems, and quality teams. Supports customers, mentors junior engineers, drives strategic reliability initiatives, and applies AI-enabled tools to improve engineering effectiveness.

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 MTS/Principal Engineer leads WET process development for NAND technology, conducting experiments, supporting process integration, and mentoring junior staff, while collaborating across teams to drive innovation and optimize processes.

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