AI-Driven Physical Failure Analysis Engineer

Micron Technology

Singapore

On-site

SGD 60,000 - 90,000

Full time

11 days ago

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Job summary

Micron Technology Singapore is seeking a Failure Analysis (FA) Engineer to perform electrical and physical failure analysis on device anomalies and qualification failures. You will apply advanced FA tools, analyze data with Bash/Python, and collaborate with process owners and product teams to implement improvements.

You will develop new FA techniques, drive continuous improvement, and uphold lab safety while maintaining 6S standards.

Qualifications

Bachelor's or advanced degree in Engineering is required.
Strong analytical, logical and critical thinking skills.
Effective communicator with collaboration across all levels.
Internship or experience in the semiconductor industry is a plus.
Interest in and knowledge of the semiconductor industry and Micron is preferred.

Responsibilities

Perform electrical and physical failure analysis for device anomalies.
Apply advanced FA tools including FIB/EDX, SEM, Ion Millers, CSAM, 2D/3D X-ray, Emmi systems, micro-prober and bench tester.
Analyze test data failures using Bash/Python scripting in a Unix environment.
Analyze electrical signatures and physical defects to resolve failure mechanisms.
Collaborate with process owners and Product teams to drive improvement actions.
Develop and implement new FA techniques to reduce turnaround time and enhance accuracy.
Drive continuous improvement initiatives and embrace standards for FA workflows.
Ensure strict consistency to lab safety protocols and chemical handling guidelines.
Maintain +6S standards in the FA lab.
Prepare detailed FA reports and maintain accurate records for traceability.
Present findings to requestors, MRB and multi-functional teams.
Provide guidance to FA technicians and lead workload distribution.
Work closely with vendors for tool upgrades and capability improvements.
Utilize AI-enabled tools and digital solutions to accelerate failure analysis investigations, improve problem-solving efficiency, and enhance decision-making.
Identify opportunities to apply automation, data analytics, and AI technologies to optimize FA workflows, reduce turnaround time, and improve operational effectiveness.