Top Tech Jobs & Startup Jobs in Singapore

Develop Python automation tools and AI-enabled engineering solutions using Generative AI, LLMs, AI assistants, and agentic workflows. Build reusable integrations and analytics capabilities, evaluate proof-of-concept solutions, document findings, analyze performance, and present recommendations. Collaborate with cross-functional engineering teams in a semiconductor test environment while gaining experience in software development, workflow orchestration, APIs, version control, and RAG.

Develops and supports security firmware for SSD products, serving as the primary customer escalation point. Responsibilities include enabling storage security features, debugging firmware failures, performing root-cause analysis, implementing and validating firmware fixes, responding to vulnerabilities, and supporting compliance certifications. The role also manages customer and internal stakeholders, produces technical documentation, maintains issue records, and contributes to team development and responsible AI tool adoption.

Analyze semiconductor packaging, assembly, test, inline signals, process parameters, and manufacturing data to identify process variability and yield-loss contributors. Apply statistical analysis, visualization, programming, and AI-enabled workflows to investigate reject rates, develop engineering recommendations, document findings, and present results through a technical report and presentation.

Sustains and maintains semiconductor fab support systems, leads technician coverage, improves process conditions and safety interlocks, introduces OEM equipment, manages budgets, analyzes abnormalities, and drives capability, reliability, cost, and continuous-improvement initiatives using RMS, SCADA, monitoring dashboards, and AI-assisted tools.

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.

Owns smart manufacturing and AI product initiatives focused on yield analysis and Industry 4.0 adoption. Responsibilities include diagnosing process gaps, defining requirements, standardizing scalable solutions, developing business cases and ROI analyses, prioritizing projects, coordinating global technical teams, and guiding system capabilities. The role partners with solution architects, data scientists, data engineers, and machine learning engineers while using performance metrics and AI-enabled tools to drive continuous improvement.

Lead semiconductor process development and optimization during new-product transfers to high-volume manufacturing. Collaborate with technology development, manufacturing, suppliers, and safety teams to improve yield, quality, performance, and cost. Develop process-control and roadmap models, support hardware and module optimization, benchmark suppliers, and apply AI, LLMs, and agentic workflows to manufacturing processes. International travel to manufacturing and development sites is required.

Analyze semiconductor manufacturing data to identify yield detractors, reduce process variation, and improve device yield. Build data pipelines and automated processes using data from SQL databases, sensors, and fabrication tools. Apply statistical modeling, machine learning, and DOE analysis to solve production issues and support root cause investigations. Create dashboards and reports with visualization tools, collaborate with process engineering teams, and responsibly use AI-enabled tools to improve manufacturing outcomes.

Coordinates process improvements for NAND Flash manufacturing, focusing on yield, quality, reliability, and output. Designs and analyzes experiments, investigates process and quality issues, interprets complex data, and collaborates with process, equipment, production, industrial engineering, and global teams. Leads cross-functional efforts, supports process alignment across fabs, and uses AI-assisted tools to improve operational efficiency and decision-making.

Manage semiconductor test capacity modeling, network balancing, tooling transfers, capacity constraint mitigation, tester investment planning, and quarterly scenario reviews across manufacturing sites. Coordinate with procurement, planning, engineering, and site teams to optimize tooling deployment and supply capacity. Lead digital transformation initiatives, capacity simulations, workflow automation, and AI-agent development for planning, risk analysis, and tooling management.