Top Engineering Jobs in Singapore

Drive dry etch process and equipment performance using advanced data analytics, automation, machine learning, statistical modeling, and generative AI. Lead cross-functional initiatives integrating manufacturing, equipment, process, and business data. Develop scalable analytics solutions to improve productivity, tool utilization, cycle time, excursion response, process control, and manufacturing costs. Collaborate with suppliers and internal digital teams to evaluate and deploy AI technologies for semiconductor manufacturing.

Manage network tool utilization strategies, benchmark performance, and optimize manufacturing capacity, equipment deployment, and capital investments. Develop and communicate improvement plans across manufacturing teams, assess capacity impacts from process changes, and collaborate on tool and process roadmaps. Apply AI to improve investment decisions, process flexibility, capacity sharing, and equipment repurposing. Identify discrepancies and drive resolutions in a changing environment.

Conducts NAND product validation, characterization, bench testing, and electrical failure analysis. The intern analyzes test data, evaluates product changes and failure cases, develops automation scripts, documents methodologies, and presents technical findings. The role provides hands-on exposure to NAND device physics, semiconductor test equipment, product specifications, and engineering problem-solving while collaborating with Product Engineering and cross-functional teams.

Lead test equipment engineering to improve availability, OEE, and reliability through data analytics, automation, AI-enabled tools, continuous improvement, tester setup/qualification, failure analysis, and team coaching. Support manufacturing test operations, implement fixes, and develop monitoring/visualization dashboards to reduce downtime and enhance productivity.

Participate in functional and design validation of advanced NAND products using silicon and simulation platforms. Develop test cases, automation scripts, and engineering tools; analyze performance, timing, and power characteristics; investigate failures through log review and root-cause analysis; and document findings in technical reports and presentations.

Intern will develop AI-enabled analytics, automation workflows, dashboards, and software solutions for NAND semiconductor test engineering. Responsibilities include analyzing manufacturing and test datasets, automating test-result analysis and validation, correlating wafer yields, exploring machine learning for predictive insights, and improving test quality, productivity, and engineering cycle time. The role provides hands-on exposure to wafer probe, burn-in, assembly testing, and high-volume semiconductor manufacturing while collaborating with engineering, manufacturing, quality, and data science teams.

Develops and maintains automated validation infrastructure for enterprise SSD interoperability, functionality, and reliability testing. Responsibilities include creating test automation and equipment interfaces, defining validation strategies, troubleshooting SSD and platform integration issues, improving defect detection, documenting methodologies, and collaborating with firmware, hardware, test, and product teams across global locations.

The Facilities Engineer is responsible for overseeing UPW and WW systems operations, maintenance, and engineering projects, ensuring compliance and sustainability goals are met.

The Staff Engineer in Process Development focuses on optimizing thin film processes and ensuring integration readiness, while mentoring junior engineers and driving continuous improvement through AI tools.

The MTS leads dry etch technology development, drives equipment roadmaps, and mentors engineers while solving complex problems in NAND scaling.