Director, Package Reliability & Qualification

Micron Memory Malaysia Sdn Bhd; Singapore; On-site; SGD 250,000 - 350,000; Full time

Job summary

Micron Technology, Inc. in Singapore is seeking a Director of Package Quality & Reliability Engineering to lead qualification, testing, and risk mitigation for new product introductions and high-volume manufacturing across mobile, data center, automotive, and AI workloads.

You will partner with Package Development Engineering and front-end fabs to drive DFR/DFM integration, manage a team, set KPIs, and apply data-driven reliability improvements including AI-enabled analytics.

Qualifications

• Bachelor’s degree required; advanced degree preferred.
• Proof of extensive packaging and reliability expertise in semiconductor environments.
• Experience leading teams and cross-functional programs is essential.

Responsibilities

• Lead package reliability qualification for NPI and ramp in HVM.
• Identify and mitigate CPI, interconnect, and thermo-mechanical failure risks.
• Develop and execute reliability test plans aligned to end-use requirements (auto, data center, AI/HPC).
• Collaborate with PDE and front-end fabs to integrate DFR/DFM into designs.
• Provide leadership in failure analysis and root-cause investigations (8D).

Skills

Semiconductor packaging technologies

Reliability test methodologies

Failure analysis techniques

Chip-to-package interaction

Data-driven decision making

Leadership

Education

Bachelor’s degree in Materials Science, Mechanical Engineering, Electrical Engineering, Chemical Engineering, or related field

Master’s or Ph.D. preferred

Tools

X-ray

SEM/EDX

Job description

Micron Technology, Inc. in Singapore is seeking a Director of Package Quality & Reliability Engineering to lead qualification, testing, and risk mitigation for new product introductions and high-volume manufacturing across mobile, data center, automotive, and AI workloads.

You will partner with Package Development Engineering and front-end fabs to drive DFR/DFM integration, manage a team, set KPIs, and apply data-driven reliability improvements including AI-enabled analytics.