GPU & AI Accelerator Hardware Design Undergraduate Intern (AI)
Контакты
Формат работы
onsite
Тип работы
fulltime
Грейд
trainee
Английский
b2
Страна
Canada
aipythonfpgaelectrical engineeringpcbhardware designgpucadencepower deliveryboard bring up
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Company hidden предлагает практическую работу с передовым GPU- и AI-оборудованием, понятные инженерные задачи и сильные возможности для обучения. Зарплата не указана, поэтому уровень компенсации сложно оценить заранее.
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Нет данных о зарплатеАктуальные технологииПонятные задачиПерспективное направлениеОпыт у инженеров
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Текст:
Hirify AI/Оригинал
TL;DR
GPU & AI Accelerator Hardware Design Undergraduate Intern (GPU/AI hardware): Supporting the design, bring-up, validation, and debugging of GPU and AI accelerator boards with an accent on PCB design, power delivery, circuit simulation, and electrical measurements. Focus on automating measurements with Python, troubleshooting high-speed hardware, and collaborating across board, thermal, firmware, validation, and software engineering.
Location: On-site in Toronto, Canada
Company
hirify.global develops next-generation GPU and AI accelerator platforms and the hardware that powers AI computing.
What you will do
Support GPU and AI accelerator board and power design from concept through bring-up and validation.
Assist with PCB schematics, layout, component selection, and bill of materials development.
Perform board characterization, electrical measurements, hardware debugging, and validation using laboratory equipment.
Evaluate power requirements and power-delivery solutions for GPU and AI accelerator designs.
Develop test methods and automate measurements and data collection with Python or other scripting languages.
Collaborate with board, layout, thermal-mechanical, firmware, software, and validation engineering teams.
Requirements
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.
Ability to work on-site in Toronto, Canada.
Nice to have
Experience with discrete graphics add-in cards or mobile discrete graphics systems.
Knowledge of PC x86 architecture, CPUs, memory, PCIe, display technologies, power management, and 3D graphics.
Experience building PCs or working with computer hardware.
Programming skills in Python or similar languages.
Culture & Benefits
Hands-on experience with advanced GPU and AI computing hardware.
Exposure to board, power, thermal, firmware, and validation disciplines.
Opportunities to learn from experienced engineers and apply academic knowledge to real engineering challenges.
Competitive employee benefits package.
Accessibility accommodations are available for applicants and employees with disabilities.
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