3 дня назад
GPU & AI Accelerator Hardware Design Undergraduate Intern (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
GPU & AI Accelerator Hardware Design Undergraduate Intern (AI): Developing and validating GPU and AI accelerator boards with an accent on PCB design, power delivery, board bring-up, and hardware debugging. Focus on designing schematics and layouts, automating measurements with Python, and solving high-speed, digital, analog, and thermal characterization challenges.
Location: On-site in Toronto, Canada
Company
develops semiconductor, computing, and hardware technologies, including GPU and AI accelerator platforms.
What you will do
- Support GPU and AI accelerator board and power design from concept through bring-up and validation.
- Assist with PCB schematic design, layout, component selection, and bill of materials development.
- Use simulation and engineering tools such as Cadence, Sigrity, SIMetrix, Mathcad, MATLAB, and PowerDC.
- Participate in board characterization, electrical measurements, hardware debugging, soldering, and rework.
- Develop test methods and automate measurements and data collection with Python or similar scripting languages.
- Collaborate with board, layout, thermal-mechanical, validation, firmware, and software engineering teams.
Requirements
- Currently pursuing a bachelor's degree in electrical engineering, computer engineering, computer science, mechatronics engineering, or a related science or engineering field.
- At least 3 months of educational or work experience with hardware design principles and PCB layout techniques.
- Experience with board bring-up, debugging tools, and electrical measurements.
- Experience with Cadence, Altium, or similar design software.
- Knowledge of AI acceleration hardware and computing architectures.
Nice to have
- Experience with discrete graphics add-in cards or mobile discrete graphics systems.
- Knowledge of PC x86 architecture, CPU processors, multimedia, memory, PCIe, display technologies, power management, and 3D graphics.
- Experience building personal computers and computer hardware.
- Programming skills in Python or similar languages.
Culture & Benefits
- Hands-on experience with next-generation GPU and AI computing hardware.
- Exposure to board, power, thermal, firmware, and validation disciplines.
- Opportunity to apply coursework, laboratory work, research, and technical projects to real engineering challenges.
- Competitive employee benefits package for employees and their families.
- Accessibility accommodations are available for applicants and employees with disabilities.
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