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3 дня назад

GPU & AI Accelerator Hardware Design Undergraduate Intern (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
trainee
Английский
b2
Страна
Canada
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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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

hirify.global 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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