Senior Equipment Engineer, Semiconductor & AI Ops

Micron Technology, Inc.; Singapore; On-site; SGD 60,000 - 90,000; Full time

Job summary

Micron Technology, Inc. in Singapore is seeking a seasoned Manufacturing Process Engineer to drive optimization across semiconductor production.

You will diagnose problems, lead equipment qualification, and implement AI-assisted improvements to boost yield and efficiency. You will collaborate with cross-functional teams, manage supplier relationships, and contribute to a culture of innovation and continuous learning.

Qualifications

• Bachelor’s or advanced degree in Engineering or Science is required.
• Minimum of 3 years of relevant experience.
• Strong analytical, logical, and critical thinking skills.
• Effective communicator and able to collaborate across all levels.
• Growth mindset with a passion for continuous learning.
• Experience in the semiconductor industry is a plus.

Responsibilities

• Identify, diagnose and resolve process and equipment problems.
• Coordinate evaluation and optimization of process, equipment and materials.
• Lead or support new equipment qualification for new tech development and ramp.
• Lead continuous yield improvement and cost reduction activities.
• Validate and qualify new process baselines for new products.
• Support SPC, FDC, RMS, APC.
• Manage and audit material suppliers for quality, cost, risk.
• Support internal and external audits.
• Define equipment requirements and specs; review processing methods.
• Integrate AI tools to improve efficiency and quality.
• Contribute to continuous improvement by sharing AI-enabled enhancements.

Skills

Analytical skills

Data-driven mindset

Cross-functional collaboration

Problem-solving

Education

Bachelor’s or advanced degree in Engineering or Science

Tools

MES software

Automation tools

Job description

Micron Technology, Inc. in Singapore is seeking a seasoned Manufacturing Process Engineer to drive optimization across semiconductor production.

You will diagnose problems, lead equipment qualification, and implement AI-assisted improvements to boost yield and efficiency. You will collaborate with cross-functional teams, manage supplier relationships, and contribute to a culture of innovation and continuous learning.