AI Transformation Skill Management Engineer (cPIE)

About the role

Micron Technology, Inc. is hiring an AI Transformation Engineer within its Frontend Central Product Integration Engineering (cPIE) team. The engineer drives the convergence of artificial intelligence and semiconductor manufacturing excellence, leading AI-powered innovation across process capability, yield optimization and quality improvement. The role takes ownership of AI agent skill development and lifecycle management, designing, building, deploying and governing intelligent agents that automate complex engineering workflows and augment human decision-making across Micron's global manufacturing ecosystem.

Key responsibilities

• Lead new AI/data solutions to find process, test and design improvements, including UE_ROW and quality indices, front-end PTS integration, high-value bits yield and yield improvement across process, equipment, test and design
• Build AI-enabled modeling, monitoring and benchmarking frameworks and champion process equipment prognostics and process integration optimization through machine learning and agentic AI
• Own AI agent skill development end-to-end, from requirements and design to testing, deployment and continuous improvement, and manage a portfolio of agents for process monitoring, yield analysis, equipment diagnostics and test optimization
• Prototype AI-assisted solution mock-ups, integrate AI tools into daily workflows and collaborate with Process & Equipment Engineering, Manufacturing, PIE, Global Quality, Product Engineering, Central PEE, Smart Manufacturing AI, Technology Development and suppliers
• Drive AI adoption across sites, communicate AI insights to engineers and senior leadership, and support global teams during non-standard hours and travel as required

Required profile

• Hands-on experience in PIE, Test Solution, Product Engineering and/or Circuit Design Engineering; a solid understanding of process/product integration is a strong advantage
• Deep knowledge of semiconductor processes, equipment and control systems
• PhD, Master's or Bachelor's degree in a relevant field, paired with meaningful real-world experience
• Ability to work independently, manage competing priorities and travel as required

Required skills

• Data analytical tools: Y3, JMP and Python for numerical experimentation
• Statistical and machine learning expertise is a significant plus
• Root cause analysis, structured problem solving and critical thinking
• Baseline digital fluency and role-appropriate AI literacy