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7 дней 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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Текст:
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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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