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Micron Technology

Makes memory and storage chips for AI and PCs

Frontend Central Product Integration Engineering - Product Integration Engineering, AI Transformation Skill Management Engineer

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeTaichung City, TaiwanNo salary listed

About the Job

Requirements

  • Hands-on experience in Product Integration Engineering, 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 or machine-learning expertise is a significant plus.
  • Ability to make sound decisions, multitask effectively, solve problems in a structured manner, and conduct thorough root cause analysis.
  • Strong critical thinking skills, including the habit of identifying and acting on opportunities others overlook.
  • Ability to apply baseline digital fluency and role-appropriate AI literacy to use AI tools responsibly and effectively for research, analysis, content creation, problem-solving, and measurable business outcomes.
  • PhD, Master's, or Bachelor's degree in a relevant field of study, paired with meaningful real-world experience.
  • Ability to work independently with minimal supervision and manage competing priorities.
  • Willingness to support global engineering teams during non-standard hours when needed.
  • Ability to travel as required to advance department and company objectives.

Responsibilities

  • Initiate and lead AI/data solutions to uncover process, test, and design improvement opportunities, including UE_ROW and quality indices, Front End-PTS integration, high-value-bits (PG2+) yield, and yield improvement across process, equipment, test, and design domains.
  • Develop AI-enabled modeling, monitoring, and benchmarking frameworks to improve tool performance.
  • Champion process equipment prognostics and process integration optimization through machine-learning and agentic-AI frameworks.
  • Identify test-optimization opportunities that improve product-grade yield.
  • Discover and pursue yield-improvement opportunities through data-driven insights and AI-assisted root cause analysis.
  • Own AI-agent skill development end to end, from requirements gathering and skill design through testing, deployment, and continuous improvement.
  • Architect and manage a portfolio of AI agents and skills for semiconductor engineering, 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 improve efficiency, quality, and effectiveness while exercising sound judgment and complying with organizational standards and legal requirements.
  • Collaborate with site Process and Equipment Engineering, Manufacturing, and Product Integration Engineering teams to assess AI initiatives and co-develop solutions.
  • Partner with Global Quality, Product Engineering, Central PEE, Smart Manufacturing AI, Technology Development, and suppliers to deliver end-to-end solutions and develop and deploy best-known methods to production at scale.
  • Accelerate AI adoption among peers by building cross-site and cross-SWAT connections and serving as a trusted AI leader.
  • Lead initiatives to design and optimize systems, methods, and tools toward industry standards.
  • Communicate AI insights and solutions clearly in verbal and written formats to engineers and senior leadership.
  • Improve business processes and systems with global scope and impact.
  • Identify, test, and share AI-enabled enhancements as part of continuous improvement.
  • Identify friction points and propose targeted AI-driven solutions tied to outcomes such as man-hour savings and reduced cycle of learning.
  • Proactively identify and act on improvement opportunities.

Desired Qualifications

  • A solid understanding of Process/Product Integration is a strong advantage.
  • Statistical or machine-learning expertise is a significant plus.

About the Company

Micron Technology

Makes memory and storage chips for AI and PCs

Micron Technology designs and manufactures memory and storage chips, mainly DRAM and NAND flash, used in data centers, PCs, phones, cars and industrial equipment. It is one of only three companies that make HBM, the stacked high-bandwidth memory placed beside processors in AI servers, and it is the largest memory chipmaker based in the United States. Unlike chip designers that outsource production, Micron runs its own fabs and assembly sites in the United States and across Asia. It earns money by selling chips, memory modules and solid-state drives to cloud providers, device makers and distributors. Micron was founded in 1978 and is headquartered in Boise, Idaho.

Company size
10,001+
Company stage
IPO
Headquarters
Boise, ID
Founded
1978

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