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Artificial Intelligence • Hardware • Information Technology • Machine Learning
The Assembly Process Engineer will diagnose and resolve assembly process issues, coordinate evaluations, lead yield improvement initiatives, and audit suppliers for quality and cost management.
Top Skills:
ApcFdcRmsSpc
Artificial Intelligence • Hardware • Information Technology • Machine Learning
Lead installations and maintenance of High NA EUV Track equipment, optimizing photolithography processes, resolving mechanical issues, and mentoring engineers.
Top Skills:
8DFailure Analysis MethodologiesFmeaHigh Na Euv Photo Track HardwarePhotolithography Track EquipmentSpc/Fdc
Reposted 2 Months AgoSaved
Artificial Intelligence • Hardware • Information Technology • Machine Learning
Lead innovation and development of dry etch processes, manage equipment roadmaps, mentor engineers, and collaborate across teams for NAND technology.
Top Skills:
Dry Etch TechnologyMS OfficeProcess DevelopmentPythonSAS
Artificial Intelligence • Hardware • Information Technology • Machine Learning
Develop and prepare multi-dimensional semiconductor layouts from schematics, lead major block developments, verify data integrity, debug physical verification issues, improve layout efficiency via automation, and collaborate with global design, verification, and CAD teams to meet scheduled deadlines.
Top Skills:
Agentic AiCadence VirtuosoCalibreSynopsys
Reposted 2 Months AgoSaved
Artificial Intelligence • Hardware • Information Technology • Machine Learning
Develop and implement numerical and computational models (structure, materials, process) to support DRAM and NAND node development. Collaborate with process and product teams, create modeling tools and algorithms, analyze results, and present insights to engineering teams and leaders for silicon implementation.
Top Skills:
AbaqusAnsysArtificial IntelligenceCadComputational GeometryDeep LearningDoeFeaLevel Set Method (Lsm)Machine LearningMeshingNumerical MethodsRenderingScientific ComputingSem3DSpxThermo-Mechanical ModelingVictory ProcessVirtual Structure Modeling
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Artificial Intelligence • Hardware • Information Technology • Machine Learning
Lead architecture and delivery of high-performance DRAM circuits and subsystems. Optimize floorplans, routing, power delivery, and timings; perform advanced simulations (FINESIM, HSPICE, Verilog); model parasitics and verify signal/power integrity; drive simulation-to-silicon correlation, layout decisions, tape-out support, and cross-functional technical coordination and reviews.
Top Skills:
Cadence VirtuosoCmosDramFinesimHspiceVerilogVlsi
Reposted 2 Months AgoSaved
Artificial Intelligence • Hardware • Information Technology • Machine Learning
Equipment Technicians monitor and improve manufacturing equipment, perform maintenance and troubleshooting, and collaborate with operations and engineering teams.
Top Skills:
Ai ToolsElectrical EngineeringElectronic EngineeringManufacturing Execution Systems (Mes)Mechanical EngineeringSemiconductor Technologies
Artificial Intelligence • Hardware • Information Technology • Machine Learning
Lead design, construction, and O&M alignment for ultrapure water and wastewater systems across North Asia sites. Drive continuous improvement, energy optimization, predictive maintenance, benchmarking, training, and sustainability. Integrate AI tools to improve project delivery, operations, and data acquisition while collaborating with central and site teams.
Top Skills:
8D Problem SolvingAIAi AssistantData AcquisitionFipa/MetsGenerative AiMocPredictive MaintenancePreventive Maintenance (Pm)SippSpcUpwWwt
Reposted 2 Months AgoSaved
Artificial Intelligence • Hardware • Information Technology • Machine Learning
Lead the technical program ownership for HBM design execution, ensuring alignment across various components and managing risks while maintaining communication with stakeholders.
Top Skills:
JIRA
Artificial Intelligence • Hardware • Information Technology • Machine Learning
Lead design, construction, testing, and commissioning of semiconductor fab gas and chemical systems. Evaluate and implement system design changes, manage execution, control manpower, materials, cost, schedule, and engineering budget to ensure quality and delivery. Apply AI-enabled tools and digital fluency to improve work processes.
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