Semiconductor Materials Specialist (AI)

Location: Singapore; on-site

Company

hirify.global is building AI products for semiconductor reverse engineering and materials intelligence.

What you will do

• Act as the domain authority for lithography and etch materials within semiconductor reverse-engineering AI products.
• Analyze patents, academic literature, and technical data to reconstruct material formulations, process parameters, and performance characteristics.
• Design and maintain standardized extraction templates, field specifications, and database frameworks optimized for AI training and reasoning.
• Clean, normalize, and govern materials and process data, including quality criteria, traceability, and version control.
• Conduct comparative analysis to identify material traits, performance differences, and process trade-offs.
• Transfer domain logic and data insights to AI and product teams supporting intelligent search, benchmarking, and process recommendations.

Requirements

• Bachelor’s degree or higher in Polymer Materials, Chemical Engineering, Materials Science, or a related discipline.
• At least 3 years of practical experience in photoresist, etch materials, materials R&D, process development, failure analysis, technical intelligence, or data research.
• Thorough understanding of lithography and etch process flows and material systems, including material properties and process correlations.
• Strong logical thinking and data awareness, with the ability to convert complex scientific research into structured data.
• Clear cross-functional communication skills and the ability to transfer domain knowledge to global team members.
• Advanced programming or software development experience, such as Python or SQL, is not required.

Nice to have

• Experience at a leading semiconductor manufacturer or top-tier materials supplier.
• Experience developing materials databases, process parameter libraries, or technical knowledge repositories.
• Hands-on experience in patent analysis, material teardown, or failure analysis.
• Familiarity with materials informatics tools, database management, or data annotation workflows.
• Interest in AI-enabled materials research and digital applications of process data.

Culture & Benefits

• Work as a core domain expert with AI engineers and product teams.
• Own the materials domain data framework and transform scientific expertise into reusable digital infrastructure.
• Contribute to the Eureka Materials Agent for semiconductor reverse engineering.
• Build AI-ready datasets and database architectures that support materials analysis and process intelligence.