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Top Engineering Jobs in Singapore
Artificial Intelligence • Hardware • Information Technology • Machine Learning
Provides technical leadership for SSD firmware validation across enterprise, data center, and automotive products. Owns validation strategy, test architecture, automation frameworks, quality systems, CI/CD pipelines, reliability testing, and manufacturing readiness. Leads root-cause analysis of complex firmware issues, defines coverage and quality metrics, mentors engineers, and influences product roadmaps. The role also applies AI-assisted tools to improve validation efficiency, data analysis, automation, and engineering quality.
Top Skills:
Ai-Assisted Engineering ToolsCCi/CdCxlFioFtlGarbage CollectionLarge Language Models (Llms)LinuxNand FlashNvmeNvme-CliNvme-OfPciePower Loss ProtectionPynvmePythonSataSecure BootShell ScriptingWear LevelingZoned Namespaces (Zns)
Artificial Intelligence • Hardware • Information Technology • Machine Learning
The NAND Design Rule Manager leads a team in developing and producing advanced 3D NAND technologies, manages design rules and PDK deliverables, collaborates across technical teams for quality assurance, and drives continuous improvement in processes.
Top Skills:
Cad SoftwareCadence VirtuosoK2ViewMentor Graphics Drc/Rve
Artificial Intelligence • Hardware • Information Technology • Machine Learning
The FECOS cPIE Standardization & Metrics Engineer will drive standardization efforts, develop metrics, implement change management, and promote collaboration across teams to enhance productivity and effectiveness.
Top Skills:
Automation ToolsData VisualizationPowerautomatePower BIRpaTableauUipath
Artificial Intelligence • Hardware • Information Technology • Machine Learning
Lead development and delivery of wafer/cube probe test solutions for HBM devices across NPI to HVM. Drive probe test plans, ATE program development, silicon debug, data-driven yield improvements, probe hardware validation, cost and test-time optimization, and cross-functional alignment. Mentor engineers and standardize probe practices to ensure production readiness and sustained issue closure.
Top Skills:
AteDramHbmHigh-Speed DigitalLoad BoardsProbe CardsProbers
Artificial Intelligence • Hardware • Information Technology • Machine Learning
Lead development and optimization of wet etch unit processes for advanced NAND, drive experiments and DoE, integrate processes with cross-functional teams, troubleshoot yield/quality issues, evaluate hardware, generate IP, implement process monitoring/control, and collaborate globally including suppliers while incorporating AI-assisted tools.
Top Skills:
Ai-Assisted ToolsDesign Of Experiments (Doe)EdxNand Memory ProcessingSemSimsTemWet EtchXpsY3
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Artificial Intelligence • Hardware • Information Technology • Machine Learning
Coordinate and optimize New Product Introduction timelines with engineering and manufacturing teams. Improve product yield, line performance, inventory management, and scheduling through analytics, automation, and AI-enabled tools. Build reporting and indices to achieve best-in-class cycle times and foster continuous improvement.
Top Skills:
Ai-Assisted ToolsMicrosoftPythonSQL
Reposted One Month AgoSaved
Artificial Intelligence • Hardware • Information Technology • Machine Learning
The Principal Engineer coordinates advanced thin film process development for NAND memory technology, focusing on innovation, technical strategy, and team leadership.
Top Skills:
Atomic Layer DepositionChemical Vapor DepositionDesign Of ExperimentsEllipsometryScanning Electron MicroscopySecondary Ion Mass SpectrometryStatistical Process ControlTransmission Electron MicroscopyX-Ray Photoelectron SpectroscopyX-Ray Reflectivity
Reposted One Month AgoSaved
Artificial Intelligence • Hardware • Information Technology • Machine Learning
Lead cross-functional semiconductor process integration efforts to improve fab yield and reliability. Design, run, and analyze experiments, collaborate with global fab teams, communicate module issues, and standardize best-known methods to optimize processes and forecast yield and output.
Artificial Intelligence • Hardware • Information Technology • Machine Learning
Own probe strategy and silicon learning from pre-silicon staging through first-silicon bring-up to HVM. Define probe coverage, limits, guard-bands, and test flows; drive yield, quality, and test-cost outcomes. Collaborate with Design, DFT, DV, Process Integration, Backend Test, and Reliability. Perform device characterization, failure analysis, and data-driven optimization using analytics and AI to enable manufacturable, scalable probe solutions.
Top Skills:
Ai/MlDesign Validation (Dv)DftProbe EngineeringSilicon CharacterizationWafer TestWafer-Level Speed (Wls)
Reposted One Month AgoSaved
Artificial Intelligence • Hardware • Information Technology • Machine Learning
Lead probe strategy and silicon learning from pre-silicon staging through first-silicon bring-up and HVM. Define probe coverage, limits, and guard-bands using silicon characterization. Collaborate with Design, DFT, DV, Process Integration, Backend Test, and Reliability to drive yield, quality, cost, and test-efficiency improvements. Enable NPI, perform device characterization, root-cause analysis, and apply data/AI for probe and test optimization.
Top Skills:
Ai/Ml For Test OptimizationBackend TestDevice CharacterizationDft (Design For Test)Failure-Mode AnalysisParametric TestingProbe PlatformsProbe Test FlowsProcess IntegrationReliability EngineeringSilicon CharacterizationWafer TestWafer-Level Speed (Wls)Yield Analysis
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