Frontend Central Product Integration Engineering (cPIE) AI Transformation Skill Management Engineer

1100 Micron SemiAsiaOP Pte Ltd; Singapore; On-site; SGD 70,000 - 100,000; Full time

Job summary

1100 Micron SemiAsiaOP Pte Ltd is hiring an AI Transformation Engineer based in Singapore to enhance semiconductor manufacturing through AI innovations. This role involves leading AI-driven optimizations, collaborating with various teams, and developing AI agent skills to improve overall productivity and quality.

The ideal candidate should possess a relevant degree and substantial knowledge in semiconductor processes and data analysis. Transform your career by joining our commitment to excellence in AI and engineering.

Qualifications

• Hands-on experience in PIE, Test Solution, Product Engineering, and/or Circuit Design Engineering.
• In-depth knowledge of semiconductor processes and equipment.
• Proficiency in data analytical tools and Statistical/Machine Learning expertise.

Responsibilities

• Lead AI-driven process and yield innovations.
• Take end-to-end ownership of AI agent skill development.
• Collaborate across teams for impactful AI solutions.
• Communicate AI insights effectively to diverse audiences.
• Contribute to a culture of continuous AI improvement.

Skills

Data analytical tools

Statistical and Machine Learning

Critical thinking

Digital fluency

Education

PhD / Master’s / Bachelor’s degree in a relevant field

Tools

Y3

JMP

Python

Job description

Job Overview

As an AI Transformation Engineer within the Frontend Central Product Integration Engineering (CPIE) team at Micron Technology, Inc., you will drive the convergence of artificial intelligence and semiconductor manufacturing excellence. You will lead AI‑powered innovation across process capability, yield optimization, and quality improvement.

Primary Responsibilities

• AI-Driven Process & Yield Innovation
  • Initiate and lead new AI/data solutions to uncover process, test, and design improvement opportunities.
  • Specialize in:
    • UE_ROW & all quality indices
    • Front End-PTS integration
    • High‑value‑bits (PG2+) yield
    • Any yield improvement area spanning process, equipment, test, and design domains
  • Develop AI‑enabled modeling, monitoring, and benchmarking frameworks that push tool performance to best‑in‑class standards.
  • Champion process equipment prognostics and process integration optimization through machine learning and agentic AI frameworks.
  • Identify test optimization opportunities that directly translate into higher product grade yield.
  • Proactively discover and pursue new yield improvement vectors through data‑driven insights and AI‑assisted root cause analysis.
• AI Agent Skill Development & Management
  • Take end‑to‑end ownership of AI agent skill development — from requirements gathering and skill design to testing, deployment, and continuous improvement.
  • Architect and manage a portfolio of AI agents and skills tailored to semiconductor engineering use cases — including process monitoring, yield analysis, equipment diagnostics, and test optimization.
  • Prototype AI‑assisted solution mock‑ups, validate feasibility, and demonstrate measurable business value.
  • Integrate AI tools and insights into daily workflows to meaningfully improve efficiency, quality, and effectiveness — exercising sound judgment and adhering to organizational standards and legal requirements.
• Collaboration & Cross‑Functional Partnership
  • Collaborate with site Process & Equipment Engineering, Manufacturing (MFG), and Product Integration Engineering (PIE) teams to establish feasibility of new AI initiatives and co‑develop impactful solutions.
  • Partner with Global Quality (GQ), Product Engineering (PE), Central PEE (CPEE), Smart Manufacturing AI (SMAI), Technology Development (TD), and Suppliers to deliver end‑to‑end solutions and drive BKM development and deployment to production at scale.
  • Accelerate AI adoption among peers — cultivating cross‑site and cross‑SWAT connections and earning credibility as a trusted AI leader.
  • Facilitate and lead initiatives to design and optimize current systems, methods, and tools toward best‑in‑industry standards.
• Communication & Influence
  • Communicate AI insights and solutions clearly and compellingly — in both verbal and written formats — to audiences ranging from engineers to senior leadership.
  • Self‑motivated and capable of operating independently with minimal supervision.
  • Manage competing priorities and drive enhancements to business processes and systems that are global in scope and impact.
  • Willing to support global engineering teams during non‑standard hours when the need arises.
  • Able to travel as required to advance department and company objectives.
• Continuous Improvement & AI Culture
  • Actively contribute to a culture of continuous improvement by identifying, testing, and sharing AI‑enabled enhancements within your scope of work.
  • Identify friction points and propose targeted AI‑driven solutions; connect innovations to tangible outcomes such as man‑hour savings and cycle of learning reduction.
  • Embody a strong growth mindset — committed to continuously learning, unlearning, and relearning in a rapidly evolving AI landscape.
  • Apply sharp critical thinking to proactively surface and act on improvement opportunities before they become problems.

Requirements & Technical Competencies

• 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.
• In‑depth knowledge of semiconductor processes, equipment, and control systems.
• Proficiency in data analytical tools including Y3, JMP, and Python for numerical experimentation; Statistical/Machine Learning expertise is a significant plus.
• Proven track record of sound decision‑making, effective multi‑tasking, structured problem‑solving, and thorough root cause analysis.
• Strong critical thinking skills — with a habit of finding and acting on opportunities others overlook.
• Ability to apply baseline digital fluency and role‑appropriate AI literacy to leverage AI tools responsibly and effectively for research, analysis, content creation, problem‑solving, and delivering measurable business outcomes.
• PhD / Master’s / Bachelor’s degree in a relevant field of study, paired with meaningful real‑world experience.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

Micron prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards.