Job Description

Provide strategic guidance on product direction, technical deconstruction logic, and data annotation standards for the AI platform in the semiconductor materials domain. Ensure the platform’s technical deconstruction and knowledge graph construction for photoresists, wet electronic chemicals, and semiconductor compounds achieve industry-grade depth and accuracy.

Key Responsibilities

Product Direction Guidance
• Advise on platform feature prioritization and technical deconstruction dimensions based on industry technology roadmaps (e.g., EUV photoresist localization, G5-grade wet electronic chemical breakthroughs, third-generation semiconductor material evolution)
• Participate in MVP definition and iteration planning for the materials module
Technical Deconstruction & Knowledge Graph Construction
• Design technical deconstruction frameworks for semiconductor materials (e.g., Material Composition → Fabrication Process → Performance Parameters → Application Scenarios → Supply Chain Mapping)
• Guide the development of annotation schemas and extraction rules for key information from patents/literature (formulation logic, process parameters, performance metrics, failure modes, etc.)
• Review and optimize node definitions and relationship designs in the materials domain knowledge graph
Data Quality & Evaluation System
• Establish quality standards and acceptance mechanisms for patent/literature data annotation in the materials domain
• Design evaluation dimensions for platform outputs (technical deconstruction completeness, information accuracy, logical consistency)
• Conduct periodic spot-checks on platform-generated materials technical reports, providing feedback and optimization recommendations
Industry Resource Network
• Refer or recommend technical expert resources in the semiconductor materials field (e.g., Nata Opto-electronic, Jianghua Micro/Jiangsu Crystal-Rite, SICC/TanKeBlue)
• Assist in validating alignment between platform deconstruction results and actual industry technology roadmaps

Requirements

Education Master’s degree or above in Materials Science, Chemical Engineering, Microelectronics, or related fields.

Industry Experience 5+ years in R&D, process engineering, or technical management in semiconductor materials, with deep expertise in at least one sub-domain: photoresists (ArF/KrF/EUV), wet electronic chemicals (high-purity reagents, photoresist ancillary chemicals), or semiconductor compounds (SiC, GaN, and other third-generation semiconductors)

Technical Depth

• Familiar with material formulation design, synthesis processes, purification technologies, and performance characterization methods
• Understanding of semiconductor materials’ practical application workflows and critical process nodes in wafer manufacturing
• Capable of reading patents and technical literature, extracting core innovation points from technical documents

Product Mindset Basic understanding of AI/data products; ability to translate domain knowledge into structured data requirements

Preferred R&D or process engineering background at semiconductor materials companies (e.g., Nata Opto-electronic, Jianghua Micro, Jiangsu Crystal-Rite, SICC, TanKeBlue)