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Job Description
Structured overview of role & requirementsAbout This Role
Design, build, and improve GenAI-powered systems to support ASIC semiconductor engineering workflows including code generation, data extraction, analytics, and failure analysis.
Develop, implement, and optimize LLM-based workflows and machine learning models for classification, regression, anomaly detection, and decision support.
Collaborate cross-functionally to deploy and operationalize AI/ML solutions in cloud and enterprise environments, and communicate results to technical and non-technical stakeholders.
Minimum Requirements
Bachelor's degree with 10+ years or Master’s degree with 8+ years in Electrical Engineering, Computer Science, Data Science, AI, or related field.
Minimum 4 years hands-on experience developing and deploying AI applications in semiconductor, electronics, or engineering domains.
Strong proficiency in Python and experience with modern AI coding tools or agentic coding harnesses (e.g., Claude Code, Cursor, Gemini CLI).
Practical experience with AI/ML systems involving LLMs, including retrieval-augmented generation and agentic workflows.
Ideal Candidate Profile
Experienced in building AI solutions specifically for ASIC semiconductor pre-silicon and post-silicon workflows or similar engineering environments.
Skilled in cloud ML pipeline deployment and operationalization using platforms such as GCP, AWS, or Azure.
Capability in designing scalable, reliable enterprise-grade AI/ML systems with a focus on operational readiness, traceability, and analytics integration.