Engineer/Sr Engineer GQ Ops Process
Must-have:PythonBackendDataAILead
Your tasks
- Own assigned Reliability Lab processes from qualification, implementation. Support reliability processes such as Temperature Cycling (TC), HAST/uHAST, THB/THS, HTS, Preconditioning/Reflow, Burn-In/HTOL and CSAM.
- Monitor process performance and identify variation, excursions, bottlenecks and process gaps.
- Lead, guide and develop technicians in daily process execution, troubleshooting and continuous improvement activities, ensuring consistent process performance and strong technical capability.
- Lead structured root-cause analysis and corrective/preventive actions for reliability process issues.
- Improve quality, turnaround time, productivity and process capability through continuous improvement.
- Develop error-proofing and process controls to minimize operational and process errors.
- Analyze reliability/process data to identify trends and support data-driven decision making.
- Identify opportunities for automation, digitalization and AI-enabled process improvement.
- Work closely with Operations, Equipment, Quality, Product and other engineering teams on qualification and issue resolution.
- Proactively take ownership of new responsibilities and challenges, demonstrating a strong growth mindset and continuous learning.
- Establish and maintain process specifications, SOPs, process parameters, control plans and reaction plans.
- Ensure processes meet applicable quality, safety, audit and compliance requirements.
Requirements
- Bachelor's/master's degree in mechanical, Electrical/Electronics, Mechatronics, Materials, Manufacturing, Industrial Engineering or related engineering field.
- Strong analytical and structured problem-solving capability.
- Understanding in semiconductor backend or reliability lab processes
- Good communication skills with the ability to translate technical problems into clear actions.
- Knowledge of semiconductor reliability and qualification processes, such as TC, HAST/Bake/Soak/Reflow/HTS, Burn-In/HTOL and CSAM.
- Ability to lead, guide and develop technicians, provide clear technical direction, coordinate process activities, and drive effective execution and problem resolution.
- Experience with RCA, 5M1E, FMEA, DOE and risk assessment.
- Experience in equipment and processing qualification / validation.
- Ability to analyze process data and identify trends, abnormalities and improvement opportunities.
- AI & Programming: Working knowledge of AI and AI-assisted development tools such as Claude Code, with basic Python and/or SQL. With ability to identify opportunities where AI, automation or digitalization can improve process quality, productivity and TAT.
- Automation & Data Visualization: Experience with Microsoft Power Automate and visualization tools such as Tableau or Power BI to automate manual workflows, develop dashboards and improve data-driven decision making.
- Strong process ownership with the ability to clearly articulate what, why and how.
- Demonstrated ability to identify process gaps and risks, rather than only executing established procedures.