ASIC Gen-AI Data Scientist
Core
Develop and deploy GenAI, machine learning, and advanced data analytics solutions to improve productivity and decision-making in ASIC semiconductor engineering workflows.
Role type
Senior IC data scientist (GenAI/ML for semiconductor engineering)
Builds
AI-driven systems for code generation, data extraction, analytics, documentation automation, failure triage, and root cause analysis within ASIC engineering.
Domain
Semiconductor industry + Generative AI / Machine Learning
Deliverable
production ML models | product features
Required skills
Python, LLM workflow engineering (RAG, agentic workflows), deep learning, anomaly detection, cross-functional collaboration, technical communication, innovation leadership
Preferred skills
ASIC pre/post-silicon workflow experience, cloud deployment (GCP/AWS/Azure), LLM training and evaluation, data visualization (pandas, scikit-learn), web technologies (JavaScript, HTML, CSS), scalable system design
Technologies
Python, RAG, Graph-RAG, GCP, AWS, Azure, pandas, scikit-learn, matplotlib, plotly, Claude Code, Cursor, Gemini CLI
Responsibilities
Design and build GenAI-powered systems for engineering workflows; optimize LLM-based workflows including prompting and benchmarking; develop ML models for classification, regression, and failure analysis; partner with domain experts to translate engineering problems into AI solutions; support production deployment and monitoring of AI/ML systems; communicate technical findings to stakeholders; identify high-impact opportunities for AI adoption
Seniority
Senior, hands-on IC