Top Tech Jobs & Startup Jobs in Singapore

Participate in AMHS engineering discussions and cross-functional collaboration within a semiconductor manufacturing environment. Analyze manufacturing and AMHS operations using structured problem-solving, data analytics, visualization tools, and AI-enabled workflows. Identify operational improvement opportunities, develop data-driven recommendations, and present findings. The internship provides exposure to Assembly and Test operations, operational excellence, and automation systems.

Manages Micron’s Asia Pacific logistics security program for high-value shipments. Develops risk-based controls, assesses carriers and transportation lanes, oversees tracking and monitoring solutions, manages security vendors, and coordinates escalation, incident response, recovery, and continuous improvement. Partners with Supply Chain, Procurement, Logistics, Legal, Global Security, Risk, carriers, and third-party logistics providers. Produces policies, scorecards, metrics, executive briefings, and security recommendations aligned with TAPA and CTPAT practices.

Leads global EHSS solution programs from discovery through deployment and stabilization, initially focused on Health and Safety. Translates operational and regulatory needs into requirements, processes, UAT plans and delivery programs; coordinates business teams, IT, vendors and implementation partners; establishes governance, manages risks and dependencies, drives business acceptance, and evaluates AI, automation, analytics and enterprise platforms to improve EHSS outcomes.

Perform electrical characterization and high-volume experiments on NAND cell arrays and test structures to identify failure mechanisms. Design experiments, analyze statistical data, assess reliability risks vs. JEDEC/internal qualifications, and drive process and product engineering solutions and roadmap for next-generation NAND.

Performs electrical and physical failure analysis for semiconductor device anomalies, customer returns, and qualification failures. Uses advanced microscopy, imaging, probing, and testing tools, along with Bash and Python in Unix environments, to identify failure mechanisms. Collaborates with process and product teams, develops improved analysis techniques, maintains lab safety and quality standards, prepares reports, presents findings, guides technicians, and supports automation, analytics, and AI-enabled workflow improvements.

Five-month internship developing AI and machine learning solutions for semiconductor facilities engineering. Responsibilities include analyzing operational and sensor data, building predictive maintenance and anomaly-detection prototypes, creating dashboards and automation workflows, and developing AI-enabled knowledge-management tools. The intern will collaborate with facilities engineers, apply software-engineering principles, document findings, and present recommendations and business value.

Develop and improve NAND cell reliability through electrical characterization, high-volume wafer- and component-level experiments, statistical analysis, failure-mechanism identification, and risk assessment. Coordinate process, trim, and test strategies to meet JEDEC and internal qualification requirements. Provide reliability updates and roadmap feedback to cross-functional engineering teams, while contributing to next-generation NAND technology development and product capability projections.

Supports advanced copper sputter process development for HBM semiconductor metallization. Responsibilities include process characterization, hardware qualification, integration assessment, statistical and machine-learning analysis, defect reduction, yield improvement, and manufacturing readiness. The intern will use AI, manufacturing systems, and data analytics to identify process trends and recommendations while collaborating with process integration, manufacturing, equipment, and quality teams.

Supports a five-month product engineering project involving NAND Flash, memory products, and SSDs. Analyzes test coverage, yield data, electrical measurements, and failure mechanisms; conducts circuit simulations and engineering evaluations; and develops scripts, dashboards, automation, or AI-enabled workflows. The intern documents findings, recommends improvements to product quality and test efficiency, and presents a final technical report under experienced engineering guidance.

Intern will analyze semiconductor manufacturing and quality data to detect cell metric drift and potential quality excursions. Responsibilities include statistical analysis, detection modeling, correlation analysis, dashboard and visualization development, AI-enabled data exploration, and technical documentation. The intern will collaborate with engineering teams and deliver a monitoring methodology, analytical report, recommendations, and final presentation.