5 дней назад
GPU Physical Design Engineer Intern (Semiconductor)
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
GPU Physical Design Engineer Intern (Semiconductor): Supporting the development, optimization, and verification of physical design and layout for high-performance SoCs with an accent on placement, routing, timing, power, and area targets. Focus on performing DRC and LVS validation, resolving design challenges through simulation and analysis, and improving design automation methodologies.
Location: San Jose, Costa Rica; hybrid work model with on-site and off-site work
Company
's Data Center Group develops semiconductor solutions for cloud computing, AI, and edge computing.
What you will do
- Support physical design implementation for high-performance SoC designs, including placement, routing, and optimization.
- Perform design rule checks (DRC) and layout versus schematic (LVS) validation.
- Analyze and resolve timing, power, and area challenges with cross-functional engineering teams.
- Contribute to design methodologies and automation tools.
- Support hardware teams with simulation, validation, and debugging of design features.
Requirements
- Pursuing a Bachelor's degree in Electrical Engineering, Computer Engineering, or a related field.
- 0–1 years of hands-on physical design experience gained through internships, academic projects, coursework, or training.
- Advanced experience with physical design EDA tools such as Cadence, Synopsys, or similar platforms.
- Knowledge of semiconductor design principles, timing, power optimization, and layout techniques.
- Intermediate to advanced English proficiency is required.
- Unrestricted, permanent right to work in Costa Rica is required.
Nice to have
- Familiarity with Python or Perl for design automation.
- Strong analytical and problem-solving skills.
- Ability to work effectively in a collaborative engineering environment.
Culture & Benefits
- Full-time student internship within 's Data Center Group.
- Hybrid work model combining on-site work at the assigned site with off-site work.
- Opportunity to contribute to technologies for cloud computing, AI, and edge innovation.
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