Front End Central Product Integration (FE CPIE) MTS (FE)

MICRON SEMICONDUCTOR ASIA OPERATIONS PTE. LTD.

Singapore

On-site

SGD 120,000 - 180,000

Full time

7 days ago
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Job summary

Micron Semiconductor Asia Operations Pte. Ltd. is seeking a senior process integration professional to lead structural uniformity across modules and drive end-to-end integration strategies that resolve yield, quality, and reliability gaps.

You will develop model-based root cause analysis, implement inline monitoring, and collaborate with cross-site teams to accelerate centre-to-edge yield ramps while applying AI-enabled insights to improve efficiency and outcomes.

Qualifications

  • Bachelor's/Master's/PhD in EE, Materials Engineering, Materials Science, Physics and Chemical but optional if candidates have more than 10 years' experience in process related role in the semiconductor industry.
  • With more than 7 years of relevant industry experience/knowledges.
  • Good logical thinking and knowledge in Semiconductor Fabrication process flows, interaction of different processes and how changes affect yield, device performance and reliability.
  • Understanding of DRAM and NAND operation and structure to decipher parametric, probe and qual data from both front-end and backend assembly processes.
  • Good model-based problem solving, data-driven decision making, and presentation skills.

Responsibilities

  • Lead process integration structural uniformity and cross-loop integration for critical modules, owning end-to-end integration strategies.
  • Drive physics- and process-based integration solutions through collaboration with cross-module process owners and suppliers to optimise structures.
  • Develop and apply model-based root cause analysis frameworks and inline monitoring to ensure robust control of uniformity.
  • Own and advance product integration programs and loop-level domain expertise, accelerating yield and quality ramp.
  • Drive worldwide technical alignment by leading global projects and scaling solutions across sites, improving performance and productivity.
  • Integrates AI-assisted tools and insights into daily work to improve efficiency and effectiveness, while complying with standards.

Skills

Process integration
Logical thinking
Problem solving
Data-driven decisions
Verbal and written communication
AI literacy
Teamwork
Global collaboration
Adaptability
Semiconductor fabrication knowledge

Education

Bachelor's/Master's/PhD in EE or related
Materials Engineering / Materials Science / Physics / Chemistry (related)

Tools

None specified

Job description

Job Responsibilities:
  • Lead process integration (PI) structural uniformity and cross-loop integration for critical modules (e.g., capacitance loop), owning end-to-end integration strategies to resolve yield, quality, and reliability gaps. Drive physics- and process-based integration solutions through close collaboration with cross-module process owners, PI subject-matter experts, and key suppliers to optimise integration structures and achieve BIC yield and quality targets.

  • Develop and apply model-based root cause analysis frameworks (transport, reaction kinetics, pattern density, and geometry-dependent effects) to diagnose structural non-uniformity. Define, implement, and continuously strengthen critical inline monitoring and defence lines (CD, film loss, mass delta, defectivity, edge/periphery metrics) to ensure robust control of structural uniformity.

  • Own and advance product integration programs and loop-level domain expertise, maintaining deep technical knowledge across node transitions. Proactively drive node-over-node “shift-left” integration, including early implementation of uniformity, bevel, and backside best-known-methods (BKMs) during development phases to accelerate whole-wafer (centre-to-edge) yield and quality ramp.

  • Drive worldwide technical alignment and execution excellence by leading global projects, standardizing and leveraging network BKMs, and scaling proven solutions across sites. Identify efficiency and performance gaps, and lead business process creation, optimization, and re-engineering to improve benchmark performance, cycle time, and development productivity.

  • Integrates AI-assisted tools and insights into daily work to improve efficiency, quality, or effectiveness, exercising sound judgment and complying with organizational standards and legal requirements.

    Contributes to a culture of continuous improvement by identifying, testing, and sharing AI-enabled enhancements within one’s scope of work.

Job Requirements:
  • Bachelor's/Master's/PhD. in EE, Materials Engineering, Materials Science, Physics and Chemical but optional if candidates have more than 10 years' experience in process related role in the semiconductor industry.

  • With more than 7 years of relevant industry experience/knowledges.

  • Good logical thinking and knowledge in Semiconductor Fabrication process flows, interaction of different processes and how changes affect yield, device performance and reliability. Understanding of DRAM and NAND operation and structure to decipher parametric, probe and qual data from both front-end and backend assembly processes.

  • Good model-based problem solving, together with data-driven decision making, and presentation skills. Proven ability to troubleshoot and solve structure and device-related issues, and address root cause.

  • Good organizational capabilities and ability to work effectively. Ability to be flexible with job responsibilities and take the initiative to assume added responsibilities. Travel to Micron sites as necessary for face-to-face collaboration.

  • Strong interpersonal skills and customer/co-worker relationships. Successfully demonstrated teamwork skills with a strong focus on developing good team dynamics.

  • Good multi-tasking, verbal and written communication skills.

  • Ability to apply baseline digital fluency and role-appropriate AI literacy to use AI-enabled tools responsibly and effectively for research, analysis, content creation, problem-solving, operational tasks, and achieving business outcomes

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