6 дней назад
CMOS FEOL Reliability Engineering Intern (Semiconductors)
20 - 40$
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
CMOS FEOL Reliability Engineering Intern (Semiconductors): Evaluating semiconductor device reliability across advanced CMOS technology platforms with an accent on wafer-level reliability testing, statistical analysis, and process monitoring. Focus on developing automated dashboards, identifying degradation mechanisms, and supporting technology qualification and root-cause investigations.
Location: Malta, New York, USA
Salary: $20.00–$40.00 per hour
Company
manufactures essential, power-efficient semiconductors for high-growth markets and supports customers through advanced technology partnerships.
What you will do
- Support reliability qualification and monitoring for advanced CMOS technologies manufactured at Fab 8.
- Analyze wafer-level and fast wafer-level reliability test data using statistical and engineering methods.
- Investigate degradation mechanisms, process factors, and device factors affecting long-term reliability.
- Develop automated data-analysis, reporting, dashboard, and visualization solutions for reliability trends.
- Improve statistical monitoring, excursion detection, and reliability risk assessment methods.
- Collaborate with device, process integration, product, yield, and laboratory engineering teams on qualification and root-cause investigations.
Requirements
- At least a sophomore pursuing a Bachelor’s, Master’s, or PhD in Electrical Engineering, Materials Science, Physics, Computer Engineering, Data Science, Semiconductor Engineering, or a related field.
- Minimum overall GPA of 3.0 and good academic standing.
- English fluency required for written and verbal communication.
- Availability to work at least 40 hours per week during the internship.
- Strong analytical, problem-solving, independent-working, and collaboration skills.
Nice to have
- Knowledge of semiconductor devices, manufacturing processes, reliability concepts, wafer-level reliability, or laboratory testing.
- Familiarity with statistical data-analysis techniques.
- Experience with Python, JMP, Minitab, Excel, Power BI, or similar analysis and visualization tools.
- Prior internship or co-op, leadership, project management, planning, or organizational experience.
- Interest in using AI tools and emerging technologies to improve productivity and decision-making.
Culture & Benefits
- One-on-one mentorship and meaningful engineering work during the internship.
- Professional development opportunities and networking with executives.
- Collaboration across reliability, device, process, product, yield, and laboratory engineering teams.
- Work performed under Environmental, Health, Safety, and Security requirements.
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