ASIC Gen-AI Data Scientist

Quick Facts

As part of the ASIC Technical Products Engineering organization, the role focuses on developing next-generation GenAI, machine learning, and advanced data analytics solutions for semiconductor engineering.

Description

You will help drive development of intelligent systems that improve engineering productivity, strengthen technical decision-making, and unlock insights from complex ASIC pre and post silicon engineering workflows. You will collaborate with cross-functional teams across System Architecture, Logic Design, Analog/Mixed-Signal Design, Data Science and IT to prototype, build, and scale practical AI-driven solutions that improve quality, cost, cycle time, and engineering efficiency.

Key Responsibilities

• GenAI System Development: Design, build, and improve GenAI-powered and agentic systems supporting ASIC semiconductor engineering workflows such as code generation, data extraction, analytics, documentation automation, failure triage, root cause analysis, and technical knowledge retrieval.

• LLM Workflow Engineering: Build, evaluate, and optimize LLM-based workflows, including prompting, developing skills, retrieval-augmented generation (RAG and Graph-RAG), benchmarking, and quality evaluation.

• Machine Learning Production: Develop and implement machine learning and deep learning models for classification, regression, anomaly detection, failure analysis, and engineering decision support.

• Cross-Functional Collaboration: Partner with domain experts and cross-functional teams to translate complex engineering problems into scalable AI/ML and analytics solutions.

• Production Deployment: Support deployment, monitoring, and operationalization of AI/ML solutions in cloud and enterprise environments.

• Technical Communication: Communicate technical findings, recommendations, and model outcomes clearly to both technical and non-technical stakeholders.

• Innovation Leadership: Identify and drive high-impact opportunities where GenAI, machine learning, and analytics can improve engineering productivity and business outcomes!

Requirements

• Bachelor’s with 10+ years or Master’s degree with 8+ in Electrical Engineering, Computer Science, Data Science, Statistics, Artificial Intelligence, or a related field
• Minimum 4 years of hands-on experience developing and deploying AI applications in semiconductors, electronics, or other engineering industries
• Strong programming proficiency in Python
• Familiarity with modern AI coding tools / agentic coding harnesses (e.g., Claude Code, Cursor, Gemini CLI, or similar tools)
• Practical experience developing and implementing AI/ML systems involving LLMs, including RAG, agentic workflows, and frameworks

Benefits

Micron benefits are designed to help you stay well, provide peace of mind and help you prepare for the future. They offer a choice of medical, dental and vision plans in all locations enabling team members to select the plans that best meet their family healthcare needs and budget. Micron also provides benefit programs that help protect your income if you are unable to work due to illness or injury, and paid family leave, along with a robust paid time-off program and paid holidays.