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Micron Technology

Makes memory and storage chips for AI and PCs

Manufacturing Development Engineering Senior Manager

Process EngineeringConfirmed live in the last 24 hours
Full-timeTaichung City, TaiwanNo salary listedIn-person

About the Job

Requirements

  • Extensive semiconductor industry experience in technology development, manufacturing engineering, process engineering, manufacturing operations, or advanced packaging.
  • Strong knowledge and demonstrated experience in advanced packaging technology development.
  • Proven success leading engineering organizations through managers, lead engineers, and technical leaders.
  • Demonstrated ability to establish organizational vision, execute strategy, and deliver business results.
  • Experience leading complex cross-functional programs and resolving technical and organizational challenges.
  • Proven track record in talent development, leadership coaching, succession planning, and building high-performing organizations.
  • Strong technical judgment, problem-solving capability, and data-driven decision-making skills.
  • Excellent communication, presentation, and stakeholder management skills.
  • Demonstrated ability or willingness to leverage AI, automation, digital tools, and data analytics to improve decision making, problem solving, operational effectiveness, and workforce productivity.
  • Ability to promote responsible AI use consistent with company policies, data protection requirements, information security standards, and ethical business practices.
  • Ability to communicate effectively in English.
  • A master's degree or Ph.D. in Engineering, Materials Science, Physics, Chemistry, or a related technical discipline, with 5+ years of semiconductor industry experience; or a bachelor's degree in those fields or a related technical discipline, with 10+ years of semiconductor industry experience.

Responsibilities

  • Define and execute the strategy, operating model, and priorities for the APTD MDE organization.
  • Lead and develop a high-performing organization supporting DLT, MRDA, and WLT.
  • Drive workforce planning, organizational capability, succession planning, and leadership development.
  • Foster a culture of accountability, collaboration, innovation, technical excellence, and continuous improvement.
  • Drive organizational readiness for AI transformation by fostering digital capability development, encouraging innovation, and integrating AI-enabled practices into daily operations and development execution.
  • Provide organizational, technical, and operational leadership for process development execution.
  • Ensure effective execution of development priorities while meeting quality, safety, and business objectives.
  • Establish clear ownership, governance, escalation processes, and decision-making mechanisms.
  • Optimize resource allocation, technical capability, and operational effectiveness to improve development velocity and execution predictability.
  • Lead an organization operating across rotating day and night shifts to support continuous technology development execution.
  • Ensure effective communication, leadership alignment, disciplined shift handoffs, and execution continuity across all shifts.
  • Provide leadership oversight for workforce capability, employee development, and operational performance throughout the organization.
  • Ensure workforce practices comply with company policies and applicable regulations.
  • Partner with Technology Development, Process Integration, Equipment Development, Manufacturing, Product Engineering, Quality, and other stakeholders to accelerate learning and technology readiness.
  • Provide leadership for complex technical and organizational challenges.
  • Drive adoption of best-known methods, standardized work processes, and execution excellence.
  • Enable successful transfer of technology learning and operational knowledge across organizations.
  • Establish performance indicators and drive accountability for organizational results.
  • Lead continuous improvement initiatives that improve productivity, execution quality, learning velocity, and operational effectiveness.
  • Champion AI-enabled ways of working and the responsible adoption of AI, automation, digital solutions, and advanced analytics to improve organizational performance.
  • Build organizational capability in the effective use of AI and data-driven methodologies to improve decision quality, problem solving, workforce productivity, and execution effectiveness.
  • Identify and implement opportunities to leverage AI, automation, and digital technologies to streamline workflows, enhance knowledge sharing, accelerate learning cycles, and improve operational efficiency.
  • Demonstrate visible leadership in safety, quality, compliance, and operational discipline.
  • Ensure adherence to company policies, procedures, and regulatory requirements.
  • Promote a culture that prioritizes employee safety, data integrity, and responsible business practices.

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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