About the role
AI summarisedProcess engineer role at Micron Technology, a semiconductor company, focusing on reliability lab process enablement and improvement. Responsibilities include new lab setup, maintaining process of record, defining control plans, and driving continuous improvement using statistical and AI techniques. Requires a Bachelor's or Master's in engineering, understanding of semiconductor backend or reliability lab processes, and familiarity with quality systems. Fresh graduates are encouraged to apply.
IDMFull-timeQuality
Key Responsibilities
- New lab enablement. Lead qualification and process buyoff for new equipment or layout changes; coordinate with Facilities and GEL in enablement.
- Maintain and improve process of record (POR) for assigned reliability tests, ensuring adherence to SOPs and quality management systems.
- Define process windows, control plans, and reaction mechanisms to prevent excursions and maintain product integrity.
- Partner with Automation Engineers to implement error-proofing measures and reduce manual touchpoints.
- Support audits by maintaining accurate documentation, training records, and compliance evidence.
- Analyze process performance data, identify trends, and drive corrective actions for continuous improvement using statistical and AI-assisted techniques.
Requirements
- Bachelor's or Master's degree in Mechanical, Electrical & Electronics, or any related engineering discipline.
- Understanding in semiconductor backend or reliability lab processes.
- Understanding in reliability tests such as thermal/humidity stress, temperature cycling, and reflow; and/or device reliability test such as HTOL, ELFR, HNBTI etc.
- Familiarity with quality systems, process control, and audit requirements.
- Excellent problem-solving and communication skills.
- A mindset that emphasizes continuous improvement, and striving for excellence.
- Fresh Graduates are encouraged to apply.
- Experience in greenfield lab setup and enablement is preferred.
- Exposure to lab automation and integration with MES or AMHS systems will be an advantage.
- Basic scripting or data analysis skills (Python, SQL, Microsoft Power Platform, or similar), including familiarity with AI-workflow will be a plus.
- Experience with error-proofing techniques and process optimization.
- Experience or interest in digitizing workflows (forms, approvals, dashboards) using low-code or automation platforms.