Engineer I, Process Sustaining Engineering
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Join Analog Devices as a Process Sustaining Engineer, focusing on improving productivity and quality in manufacturing. This role involves reviewing process plans, coordinating preventive actions, analyzing quality data, and driving automation and lean initiatives.
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About Analog Devices
Analog Devices, Inc. (NASDAQ: ADI) is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge. ADI combines analog, digital, AI, and software technologies into solutions that combat climate change, reliably connect humans and the world, and help drive advancements in automation and robotics, mobility, healthcare, energy and data centers. With revenue of more than $11 billion in FY25, ADI ensures today's innovators stay Ahead of What's Possible. Learn more at www.analog.com and on LinkedIn and X.
Responsibilities
- Review on quarterly basis OCAP, process control plan, FMEA.
- Coordinate with other supervisors to put in place a preventive action in respond to quality discrepancy received.
- Ensures high productivity and excellent quality of work while meeting cycle time goals.
- Analyze audit reports, customer complaints and internal quality errors and create corrective actions to avoid recurrence.
- Perform other related projects e.g. automation process, lean, statistical process control and all proactive improvement that may assigned by Manager.
- Capable to apply Information Technology for real time monitoring of process capability, KPI, OEE, Machine capability etc. then fan out to other manufacturing plant.
- Capable to explanation with familiar manner and logical thinking.
- Capable to Negotiate to get achieve with project target.
- Capable to support cross functional team project implement and feedback as team member.
Qualifications
- Bachelor’s degree or higher in Engineering (e.g., Production, Industrial, Mechatronics, Mechanical, or a related discipline).
- New graduate in manufacturing or engineering.
- Familiar with FMEA, OCAP, SPC, DOE, and root cause analysis tools.
- Strong analytical skills; proficient in Excel and familiar with Minitab, JMP, or equivalent statistical software.
- Basic understanding of lean manufacturing and automation principles is an advantage.
- Knowledge of manufacturing simulation software (e.g., FlexSim) is a plus.
- Familiarity with basic coding (Python, VBA) and data tools (e.g., MES, SCADA, Power BI) is an advantage.
- Effective communication and teamwork skills.
สวัสดิการที่ได้รับ
คุณสมบัติผู้สมัคร
- ประสบการณ์
- น้อยกว่า 1 ปี
- การศึกษา
- ปริญญาตรี
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