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1 день назад

Hardware Design Engineer (AI Infrastructure)

180 000 - 280 000$
Формат работы
onsite
Тип работы
fulltime
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Текст:
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TL;DR
Hardware Design Engineer (AI Infrastructure): Designing high-speed, high-power hardware systems for next-generation AI data-center infrastructure with an accent on Ethernet switches, CPU subsystems, advanced ASICs, optical modules, and complex circuit boards. Focus on system-level analysis, signal and power integrity, thermal management, validation, compliance, and bringing complex hardware products from concept to production.

Location: San Francisco Bay Area, Mountain View, CA, Greater Boston, or San Jose, CA

Salary: $180,000–$280,000 annually; other listed ranges include $140,000–$400,000 annually.

Company

hirify.global is working with a high-growth startup developing next-generation infrastructure for AI workloads in modern data centers, integrating advanced optical modules to improve hardware performance.

What you will do

  • Design Ethernet switches, CPU subsystems, memory systems, and networking interfaces.
  • Develop high-speed circuit boards incorporating advanced ASICs and optical modules.
  • Perform system-level analysis, simulation, validation, and debugging.
  • Collaborate with software, thermal, mechanical, and supply chain functions.
  • Define and improve hardware design standards and best practices.

Requirements

  • BS or MS degree in Electrical Engineering, Computer Engineering, or a related field.
  • Strong experience designing hardware systems for high-speed, high-power applications.
  • Hands-on expertise in signal integrity, power integrity, thermal management, and UL, CE, and FCC compliance.
  • Familiarity with x86, ARM, and BMC CPU subsystems, DC/DC power systems, and VHDL or Verilog digital logic.
  • Previous success shipping complex hardware products.

Culture & Benefits

  • Ownership of hardware designs from concept through production.
  • Cross-disciplinary collaboration in a fast-paced environment.
  • Opportunity to work on advanced infrastructure for AI data centers.
  • Emphasis on clear communication, curiosity, adaptability, and technical depth.

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