ASIC Gen-AI Data Scientist

What you'll do

• Build GenAI and agentic systems for engineering tasks such as code generation, failure triage, root cause analysis, and technical knowledge retrieval.
• Develop, evaluate, and optimize LLM workflows and machine learning models, and support production deployment and monitoring.
• Collaborate with engineering and IT teams to turn complex problems into scalable solutions and communicate findings to stakeholders.

What they ask for

• Bachelor's degree with 10+ years or Master’s degree with 8+ years in a stated relevant field.
• At least 4 years developing and deploying AI applications in semiconductors, electronics, or other engineering industries.
• Strong programming proficiency in Python.
• Practical experience developing AI/ML systems involving LLMs, including RAG, agentic workflows, and frameworks.

Nice to have

• Experience with agentic systems or AI solutions for ASIC pre-silicon and post-silicon workflows.
• Cloud experience with GCP, AWS, or Azure, including production ML pipeline deployment.

Pay

$145,000.00 - $336,000.00 a year (USD, base salary)

Tools

Python, Claude Code, Cursor, Gemini CLI, RAG, Graph-RAG, GCP, AWS

AI focus

Build and operationalize GenAI, agentic, LLM, machine learning, and deep learning solutions for semiconductor engineering workflows, including retrieval, analytics, failure analysis, and decision support.