Lead Shift Engineer - NAND TD & Metrology

MICRON SEMICONDUCTOR ASIA OPERATIONS PTE LTD

Singapore

Presencial

SGD 90.000 - 130.000

Jornada completa

Hace 4 días
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Descripción de la vacante

Micron Technology Asia Operations Pte Ltd in Singapore is seeking a Semiconductor Process Engineer 3–4 to lead shift teams in wafer fabrication. The role emphasizes safety, quality, and process development support across TD and HVM interfaces, with strong emphasis on data-driven yield improvements and automation awareness.

The ideal candidate has university engineering training and a track record in wafer fabrication, process control, and cross-functional collaboration.

Formación

  • Master’s or bachelor’s degree in engineering or related science field.
  • Strong problem-solving, data analysis, and SPC/process control knowledge.
  • Proficient in process control and automation systems/tools and passion for automation/AI adoption.

Responsabilidades

  • Safety & Quality: complete safety training, adhere to policies, identify and resolve safety/quality issues, reduce injuries and incidents.
  • Shift Operations: act as 1st/2nd line defense for shift critical area issues, coordinate with TD 1st shift Process Development teams and HVM Ops.
  • Process Development Support: guide TD/HVM teams, use data-driven analysis to drive yield and quality improvements, resolve complex process/device issues.
  • People Leadership and Team Development: drive continuous improvement, set goals, manage projects, coach and develop team members, ensure accountability and timely completion.

Conocimientos

Problem solving
Data analysis
SPC
Process control

Educación

Master’s or Bachelor's in engineering

Herramientas

SPC software
Recipe Management
Manufacturing Execution Systems
Deviation requests

Descripción del empleo

Micron Technology Asia Operations Pte Ltd in Singapore is seeking a Semiconductor Process Engineer 3–4 to lead shift teams in wafer fabrication. The role emphasizes safety, quality, and process development support across TD and HVM interfaces, with strong emphasis on data-driven yield improvements and automation awareness.

The ideal candidate has university engineering training and a track record in wafer fabrication, process control, and cross-functional collaboration.

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