M

Micron Technology

Makes memory and storage chips for AI and PCs

Advanced Package Technology Development IOT Member of Technical Staff

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeTaichung City, TaiwanNo salary listedIn-person

About the Job

Requirements

  • A Bachelor's degree or higher in Electrical/Electronics Engineering, Computer Engineering, Computer Science, Mechatronics, or a related discipline, or equivalent practical experience.
  • Hands-on experience delivering and deploying IoT/IIoT, sensing/automation, and/or machine vision solutions in an industrial environment.
  • People leadership experience, direct or matrix, including coaching, prioritization, and stakeholder management.
  • Proficiency in Python and experience guiding software development practices, including code reviews, testing, CI/CD expectations, and documentation.
  • Strong analytical and problem-solving skills and clear communication in a cross-cultural environment.
  • Baseline digital fluency and the ability to use AI-assisted tools for research, analysis, content creation, problem-solving, or operational tasks relevant to the role.

Responsibilities

  • Lead, coach, and develop the IoT engineering team; set clear expectations, provide regular feedback, and build growth plans aligned to APTD needs.
  • Own team execution by defining goals and KPIs, prioritizing the IoT roadmap, assigning ownership, and ensuring high-quality, on-time delivery from concept to factory deployment.
  • Drive end-to-end IIoT solution development, including sensing strategy, edge compute, connectivity, data ingestion and storage, monitoring, and sustainment, including data quality and traceability.
  • Drive machine vision solutions by guiding hardware selection, image acquisition strategy, algorithm approach, performance validation, and deployment readiness.
  • Partner with process, equipment, automation, quality, and IT/data platform stakeholders to translate manufacturing problems into measurable signals and integrated factory solutions.
  • Ensure disciplined engineering practices, including requirements, design reviews, coding standards, documentation, change control, cybersecurity considerations, and operational readiness.
  • Own resourcing and capacity planning, including headcount, skills mix, and training; hire and onboard talent; and build vendor and partner leverage where appropriate.
  • Communicate status, risks, and decisions to leadership; manage escalations; and ensure safe execution and timely closure of issues and corrective actions.
  • Lead coordination with operations, maintenance, and equipment suppliers to ensure safe deployment and stable operation of IIoT/machine vision solutions with clear escalation paths.
  • Partner with process and integration teams to define priorities, execute development plans, and drive technology readiness.
  • Collaborate with metrology/inspection and quality leaders to set measurement strategy, control limits, and response plans.
  • Coordinate with global stakeholders to align standards, share learnings, and scale best practices across sites.
  • Integrate AI-assisted tools and insights into daily work to improve efficiency, quality, or effectiveness, using sound judgment and complying with organizational standards and legal requirements.
  • Identify, test, and share AI-enabled enhancements within the role's scope as part of continuous improvement.

Desired Qualifications

  • Machine vision hardware/software experience, including camera selection, lenses, lighting, calibration, and algorithm development using OpenCV or similar.
  • IoT architecture experience, including edge compute, device management, connectivity, data ingestion, storage, analytics, and device/data security principles.
  • Experience translating manufacturing/tool constraints into measurable signals and sensing strategies, such as camera, vibration, ESD/charge, or IMU, to detect abnormal conditions and risk.
  • Data engineering fundamentals, including reliable pipelines, data quality checks, traceability, monitoring/alerting, and scalable data access patterns.
  • Experience with embedded/edge prototyping and integration, such as Arduino or Raspberry Pi, and troubleshooting networks/connectivity in factory environments.
  • Strong program/project management skills, including planning, dependency management, risk mitigation, cross-site alignment, and execution operating rhythms.
  • Experience hiring, onboarding, and developing engineers, and building a culture of engineering excellence and ownership.

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

Recently Posted Jobs

Explore more opportunities at Micron Technology

See more jobs