Engineer - QEM PQE Electrical Failure Analysis

micron

Singapore

On-site

SGD 60,000 - 100,000

Full time

10 days ago
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Job summary

Micron Technology, Inc. in Singapore seeks a QEM PQE Electrical Failure Analysis Engineer to drive root-cause analysis for yield, quality, and reliability challenges in advanced NAND memory produced in Fab10.

You will perform die-level electrical analysis, build failure models, and design bench DOE and probe experiments to enable robust qualification and continuous yield improvement across NPI and HVM, using AI-assisted tools where appropriate.

Qualifications

  • Bachelor’s or Master’s degree in electronics, microelectronics, or related field.
  • Strong problem-solving and analytical capabilities with effective communication.
  • Experience in multi-project training and cross-functional collaboration.
  • Knowledge of circuit analysis, layout tracing, yield analysis and failure mechanisms.
  • Hands-on electrical failure analysis, bench characterization, and probe testing.
  • Familiarity with AI-enabled tools for research and data interpretation.
  • Understanding NAND memory operation, CMOS device physics, and wafer fabrication.
  • Ability to drive DOE methodologies and testing to validate hypotheses.

Responsibilities

  • Perform electrical failure analysis (EFA) using bench characterization to identify failure mechanisms at die, circuit, and transistor levels.
  • Construct failure models and root-cause understanding for yield excursions and reliability issues.
  • Design and execute bench DOE and probe experiments to validate hypotheses and drive yield improvement.
  • Translate characterization results into test, process, or device optimization to improve yield and quality.
  • Conduct circuit and layout tracing to correlate failure signatures with physical limitations.
  • Support NPI qualification and high-volume manufacturing issue resolution.
  • Drive data-driven yield improvement programs with cross-functional teams.
  • Develop test conditions, scripts, and methodologies for advanced failure validation.

Skills

Problem solving
Analytical skills
Communication
Multi-tasking
Teamwork
Data analysis
DOE methodology
AI literacy
NAND memory knowledge
CMOS physics
Electrical failure analysis

Education

Electronics / Microelectronics degree

Tools

Probe testing
Bench characterization
DOE experiments
Data analysis

Job description

Our vision is to transform how the world uses information to enrich life for all.

Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing.

Job Description:

As a QEM PQE Electrical Failure Analysis (EFA) Engineer, you will be responsible for driving deep technical understanding and resolution of yield, quality, and reliability challenges for advanced NAND memory products manufactured in Fab10.

You will support both new product introduction (NPI) and high-volume manufacturing (HVM) by performing die-level electrical analysis, failure mode construction, and innovative characterization to enable robust product qualification and continuous yield improvement. Leveraging strong knowledge in device physics, probe testing, and wafer fabrication processes, you will identify root causes of electrical failures and translate insights into actionable test, process, and design improvements to enhance product performance and outgoing quality.

Job Responsibility:
  • Perform electrical failure analysis (EFA) using bench characterization to identify failure mechanisms at die, circuit, and transistor levels

  • Construct failure models and root cause understanding for yield excursion, reliability issues, and customer return cases

  • Design and execute bench DOE and probe engineering experiments to validate hypotheses and drive yield/quality improvement

  • Translate characterization results into test, process, or device optimization solutions to improve yield, reliability, and product quality

  • Conduct circuit and layout tracing analysis to correlate electrical failure signatures to physical/process limitations

  • Support NPI qualification and HVM issue resolution, ensuring timely product release and manufacturing stability

  • Drive data-driven yield improvement programs through close collaboration with cross-functional teams (PI, TD, PE, TSE, YE)

  • Troubleshoot complex issues across test conditions, probe limitations, and device design interactions

  • Develop custom test conditions, scripts, and methodologies for advanced failure validation and experiment execution

  • Contribute to process capability improvement and cost reduction initiatives by resolving abnormal manufacturing behaviors

  • 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.

Requirements:
  • Bachelor’s / Master’s Degree in Electronics/Microelectronics/Material Science/Physics/Applied Science

  • Excellent problem-solving and analytical skills.

  • Proven ability to communicate effectively both written and verbal to all level.

  • Proven ability in multi-tasking complex projects and driving them to completion.

  • Strong teamwork skills and the ability to build strong peer relationships

  • Knowledge of Circuit analysis and layout tracing, Yield analysis and failure mechanisms

  • Strong understanding of NAND memory operation and architecture, CMOS device physics and wafer fabrication processes

  • Hands‑on experience in Electrical failure analysis, bench characterization, Probe testing and test flow understanding, Data analysis and DOE methodology

  • 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.

Embody Micron’s core values:

People – Respect, develop, and empower others

Innovation – Drive continuous improvement and breakthrough thinking

Tenacity – Show grit and determination

Collaboration – Build trust and foster teamwork

Customer Focus – Deliver excellence and value

About Micron Technology, Inc.

We are an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich life for all. With a relentless focus on our customers, technology leadership, and manufacturing and operational excellence, Micron delivers a rich portfolio of high-performance DRAM, NAND, and NOR memory and storage products through our Micron® and Crucial® brands. Every day, the innovations that our people create fuel the data economy, enabling advances in artificial intelligence and 5G applications that unleash opportunities — from the data center to the intelligent edge and across the client and mobile user experience.

To learn more, please visit micron.com/careers

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

To request assistance with the application process and/or for reasonable accommodations,please contact hrsupport_sg@micron.com

Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards.

Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron.

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