About the Role
We are seeking an experienced Semiconductor Reverse Engineering Specialist to serve as the core domain anchor for our Eureka Materials AI Agent product. You will collaborate closely with Product Managers and AI Engineers to translate deep semiconductor industry expertise into structured knowledge systems, standardized analytical workflows, and domain-specific AI capabilities.
This is a high-leverage individual contributor role. You will spend approximately 70% of your time architecting domain knowledge systems, packaging professional workflows into reusable AI Skills, and defining industry-grade standards for AI retrieval and reasoning. The remaining 30% focuses on high-value reverse engineering analysis and technical validation to ensure authoritative, industry-aligned AI outputs. No team management or hands-on lab equipment operation (TEM/SEM/EDA) is required.
Key Responsibilities
- Domain Authority: Serve as the semiconductor domain expert for the Eureka Materials Agent, ensuring technical accuracy and industrial practicability for chip, device, and material reverse engineering scenarios.
- Workflow Definition: Partner with product teams to define real-world use cases, standardized analytical workflows, and industry requirements aligned with professional field practices.
- Logic Transformation: Collaborate with AI engineers to translate reverse engineering expertise into structured domain logic, standardized prompts, technical frameworks, and evaluation benchmarks (including decapsulation protocols, material identification rules, and competitor technology mapping).
- Knowledge Base Architecture: Build and iterate on domain knowledge bases, codifying professional judgment criteria, standard analysis protocols, and industry know-how into governable, reusable digital assets.
- AI Skill Packaging: Lead the design and packaging of semiconductor-specific AI Skills, establishing professional standards for intelligent retrieval, technical reasoning, and automated technical report generation.
- Output Validation: Validate AI-generated outputs to ensure analytical results are technically rigorous, industrially feasible, and consistent with global semiconductor technology trends.
- Optimization & Iteration: Participate in model evaluation and Bad Case analysis, providing structured domain feedback to continuously improve the AI Agent’s inference accuracy and output reliability.
- Intelligence Tracking: Track global competitor roadmaps and industry evolution, converting technical intelligence into actionable guidance for product iteration and strategic roadmap planning.
Requirements
- Education: Bachelor’s degree or above in Microelectronics, Semiconductor Science, Materials Science, Electronic Engineering, or related fields, with solid foundational knowledge in device physics, process technology, or failure analysis.
- Experience: 3+ years of hands-on experience in semiconductor competitive analysis, process reverse engineering, device teardown, or industrial technology intelligence.
- Structural Thinking: Strong ability to synthesize complex technical experience into structured frameworks, reusable rules, and standardized judgment criteria.
- Soft Skills: Self-driven, pragmatic, and transparent working style, with genuine curiosity for AI-driven industrial innovation.
- Note on Coding: No programming, software engineering, or LLM training experience (e.g., Python, PyTorch) is required. Algorithms and engineering are handled by the AI team; your core value is serving as the 'domain brain' to define the strict logic frameworks our models must follow.
Preferred Qualifications
- Professional background from top-tier industry intelligence firms (e.g., TechInsights, Yole Group, Lumenci, Sagacious IP) or semiconductor manufacturer technical analysis / FA teams is highly preferred.
- Hands-on experience in knowledge base construction, business workflow mapping, and technical rule codification.
- Familiarity with semiconductor raw material databases, patent analytics tools, or industry technical data platforms.
- Prior experience partnering with cross-functional teams to translate domain expertise into digital or AI-powered product solutions.
- Strong interest in AI Agents, large language models, and industrial AI skill packaging.