5 дней назад
Intern - Technologist, Hardware Development Engineering (Studying Ph.D Degree) (AI/ML)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Intern - Technologist, Hardware Development Engineering (Studying Ph.D Degree) (AI/ML): Supporting machining and lapping process development for next-generation wafer technologies with an accent on modeling, simulation, data analytics, and AI/ML. Focus on developing engineering tools and algorithms, analyzing process and equipment data, and conducting experimental design and root cause investigations.
Location: On-site at Bangpa-in, Ayutthaya, Thailand
Company
Develops storage systems and manufacturing infrastructure for AI-driven data platforms, hyperscale data centers, cloud platforms, and enterprise infrastructure.
What you will do
- Support machining and lapping process development for next-generation wafer technologies.
- Develop modeling and simulation methods to understand process behavior.
- Analyze process and equipment data using statistical and AI/ML techniques.
- Assist with software tools, algorithms, and engineering analytics solutions.
- Support experimental design, process characterization, and root cause investigations.
- Collaborate with process, equipment, software, and data engineering teams; document and present technical findings.
Requirements
- Currently pursuing a PhD in Mechanical Engineering, Materials Science, Electrical Engineering, Computer Engineering, Physics, Data Science, or an equivalent field.
- Internship commitment of at least 4 months and on-site availability in Bangpa-in, Ayutthaya.
- Experience with modeling, simulation, data analysis, or computational research.
- Experience with AI/ML, data analytics, or predictive modeling.
- Programming experience in Python, MATLAB, C/C++, or similar languages.
- Strong analytical, problem-solving, teamwork, technical communication, and root cause analysis skills; strong written and verbal English communication.
Nice to have
- Research experience in machining, lapping, precision engineering, manufacturing processes, or advanced materials.
- Knowledge of Design of Experiments, statistical analysis, and process optimization.
- Familiarity with sensor systems, automation, or hardware development.
Culture & Benefits
- Hands-on experience with real-world manufacturing and wafer technology development.
- Work across process, equipment, software, and data engineering disciplines.
- Inclusive environment focused on diversity, belonging, respect, and contribution.
- Accessibility support is available throughout the application and hiring process.
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