11 дней назад
Electrical Supplier Quality Engineer (Semiconductor)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Electrical Supplier Quality Engineer (Semiconductor): Leading supplier quality improvement, technical qualification, and cross-site projects for electronic and semiconductor components with an accent on statistical quality analysis, process control, and failure investigation. Focus on deploying digital transformation, AI and predictive quality tools, mentoring engineers, and supporting NPI and localization programs.
Location: Amphoe Si Maha Phot, Prachin Buri, Thailand
Company
develops and manufactures storage systems and infrastructure for hyperscale data centers, cloud platforms, and enterprise environments.
What you will do
- Lead advanced supplier quality improvement, technical qualification, and cross-site projects for key components and materials.
- Analyze quality trends using SPC, Cpk, DOE, and other statistical methods to generate actionable insights.
- Drive supplier process control, root cause investigations, and validation of corrective actions.
- Mentor engineers and technicians in technical problem-solving, FMEA, and advanced supplier quality practices.
- Collaborate with suppliers on digital transformation, eQMS, dashboards, predictive tools, and AI-driven quality initiatives.
- Support NPI and localization programs through technical assessments and manufacturability reviews.
Requirements
- Bachelor’s or master’s degree in Electrical, Electronic, Semiconductor Engineering, or a related field.
- At least 8 years of experience in engineering or a related field.
- Strong knowledge of electronic and semiconductor manufacturing processes, circuit design, and electrical failure analysis in PCBA and semiconductor environments.
- Knowledge of HDD processes and technology, HDD quality management, and electronic manufacturing.
- Fluent English communication, data analysis, problem-solving, decision-making, project management, and coaching skills.
Nice to have
- Knowledge of Six Sigma, Lean Manufacturing, or Industry 4.0 concepts.
- Experience with AI, digital analytics, and predictive quality.
Culture & Benefits
- Inclusive environment focused on diversity, belonging, respect, and contribution.
- Opportunity to work on storage infrastructure supporting the AI-driven data economy.
- Candidate accessibility accommodations are available during the application and hiring process.
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