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4 часа назад

Electrical Engineering Intern (AI Hardware)

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

Текст:
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TL;DR
Electrical Engineering Intern (AI Hardware): Designing boards and validation infrastructure for high-power ASIC systems, spanning PCB development through rack-level integration with an accent on hands-on product design, high-speed interconnects, and power delivery. Focus on building and validating hardware for inference-focused frontier AI systems and integrating electrical and mechanical components across the platform.

Location: On-site at the office in San Jose, CA, United States

Salary: Paid 12-week internship; exact compensation not specified

Company

hirify.global builds inference-focused frontier AI hardware by co-designing chips, racks, software, and manufacturing systems.

What you will do

  • Design boards supporting high-performance ASIC systems and frontier AI infrastructure.
  • Develop design and validation infrastructure for hardware and silicon.
  • Work across the full-stack platform system from PCB to rack.
  • Contribute to mechanical and electrical engineering, system integration, and product design.
  • Support hardware for inference workloads, including prefill and decode systems.

Requirements

  • Progress toward a Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, or a related field.
  • Experience building real mechanical systems, boards, or other hands-on projects.
  • Knowledge of the board design cycle, high-speed interconnects, power delivery, and system integration.
  • Availability for a Fall 2026, Spring 2027, or Summer 2027 internship.

Culture & Benefits

  • Paid 12-week internship with generous housing support for relocating interns.
  • Daily lunch and dinner provided at the office.
  • Direct mentorship from industry leaders and experienced engineers.
  • Fully in-person engineering environment in San Jose with cross-disciplinary work across engineering and research.
  • Opportunity to contribute to inference-focused frontier AI systems.

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