Top Tech Jobs & Startup Jobs in Singapore

Perform die‑level electrical failure analysis for advanced NAND products, construct root‑cause failure models, design and run bench DOE and probe experiments, translate findings into test/process/device improvements, support NPI and HVM issue resolution, develop custom test conditions and scripts, and drive data‑driven yield and reliability improvements while integrating AI‑assisted tools.

Lead global OCT Photo teams and strategy for scanner and track hardware, process optimization, cost reduction, and yield improvement. Build Photo manufacturing roadmaps, manage supplier relationships, drive cross-functional projects and global expansions, oversee EUV/DUV and metrology efforts, implement equipment/material strategies, and develop workforce and future Photo engineering leaders. Integrate AI and data science for process innovation.

Lead integration strategies for semiconductor modules, develop analysis frameworks, ensure process uniformity, and drive technical alignment across global projects. Requires strong problem-solving skills and experience in fabricating semiconductor processes.

Manage Package Characterization lab operations, provide technical leadership, ensure lab readiness for new technologies, and enhance workforce development.

The Principal Engineer leads advanced photolithography development, defining technology roadmaps, mentoring engineering teams, and driving innovation for semiconductor processes.

Perform electrical device characterization, fault isolation, and physical failure analysis for qualifications, customer returns, and NPI. Root-cause defects, propose process/electrical failure mechanisms, develop new FA/fi techniques, lead CE PYE technicians, maintain high tool uptime, and integrate AI-assisted tools to improve yield and reliability.

Six-month full-time internship to learn and apply FIB-based sample preparation and TEM characterization for semiconductor failure analysis. Support process optimization, investigate advanced FIB methods, and evaluate AI/LLM-enabled tools to improve laboratory workflows. Deliver documentation, analysis/proof-of-concept for AI-enabled enhancements, and a final project presentation while collaborating with engineering mentors.

Validate HBM design and test modes through simulation, lab and ATE analysis, root-cause manufacturing/test issues, collaborate with design, manufacturing, test and quality teams, document architecture per JEDEC, and apply data analysis and AI-enabled improvements to improve product reliability and performance.

Intern will design, develop, and validate a real-time dynamic scheduling and request-grouping optimization model for an Autonomous Mobile Robot fleet. Responsibilities include process study, data analysis, algorithm development, simulation testing, performance benchmarking against current dispatching, documentation, and stakeholder presentations.

Lead the development of reliability test flows and reduce DPM while managing cross-functional collaboration to enhance HBM product quality and efficiency.