ENGINEER, GQ OPS - RELIABILITY PROCESS

1100 Micron SemiAsiaOP Pte Ltd; Singapore; On-site; SGD 70,000 - 90,000; Full time

Job summary

1100 Micron SemiAsiaOP Pte Ltd in Singapore is seeking a candidate to manage reliability stress tests and package qualification activities. You will lead initiatives for process improvement while collaborating with cross-functional teams to ensure compliance with quality standards.

The ideal candidate will possess digital fluency and AI literacy, enabling effective use of AI‑enabled tools in operational tasks. This role offers an opportunity to drive continuous improvements in both efficiency and product integrity.

Qualifications

• Ability to use AI‑enabled tools responsibly and effectively.
• Strong analytical skills and understanding of process performance data.

Responsibilities

• Own end-to-end management of reliability stress tests and package qualification activities.
• Maintain and improve process of record for assigned reliability tests.
• Lead qualification and process buy-off for new equipment or layout changes.
• Define process windows, control plans, and reaction mechanisms.
• Drive continuous improvement initiatives to enhance throughput and process stability.
• Collaborate with cross-functional teams for qualification support.
• Ensure compliance with quality standards and EHS guidelines.
• Analyze process performance data and drive corrective actions.
• Integrate AI‑assisted tools to improve efficiency and quality.
• Contribute to a culture of continuous improvement.

Skills

AI literacy

Digital fluency

Process improvement

Statistical analysis

Job description

Responsibilities

• Own the process for end‑to‑end management of reliability stress tests and package qualification activities (e.g., thermal cycling, HAST, HTS, CSAM), ensuring timely and high‑quality delivery.
• Maintain and improve the process of record (POR) for assigned reliability tests, ensuring adherence to SOPs and quality management systems.
• Lead qualification and process buy‑off for new equipment or layout changes; coordinate with Facilities and GEL in enablement.
• Define process windows, control plans, and reaction mechanisms to prevent excursions and maintain product integrity.
• Drive continuous improvement initiatives to enhance throughput (TAT) and process stability.
• Collaborate with cross‑functional teams including Quality, NPI, Product Engineering, and Equipment Engineering to support qualification.
• Ensure compliance with quality standards, audit requirements, and EHS guidelines in lab operations.
• Analyze process performance data, identify trends, and drive corrective actions for continuous improvement through statistical and AI‑assisted techniques.
• Integrate 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.
• Contribute to a culture of continuous improvement by identifying, testing, and sharing AI‑enabled enhancements within one’s scope of work.

Qualifications

• 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.

EEO Statement

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 [e-mail].