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обновлено 7 дней назад

Hardware Design Engineer (AI Infrastructure)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
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
Hardware Design Engineer (AI Infrastructure) (Ethernet switches, CPU subsystems, memory, and networking interfaces): Designing and developing datacenter hardware solutions for AI applications with an accent on high-speed SerDes, high-power ASICs, signal integrity, power integrity, and thermal management. Focus on system-level analysis, simulation, validation, testing, and shipping multiple product generations.

Location: SF Bay Area, California

Company

hirify.global develops hardware solutions for datacenter AI infrastructure and networking applications.

What you will do

  • Design and develop Ethernet switches, CPU subsystems, memory, and networking interfaces.
  • Create hardware solutions from concept through production with focus on performance, reliability, and cost-effectiveness.
  • Collaborate with software, mechanical and thermal engineering, manufacturing, and supply chain teams.
  • Perform system-level analysis, simulation, validation, and testing.
  • Refine and implement hardware design processes and standards.

Requirements

  • Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, or a related field.
  • Experience in hardware system design, including complex circuit board design with high-speed SerDes and high-power ASICs.
  • Experience with CPU subsystems such as x86, ARM, PowerPC, or BMC.
  • Knowledge of signal integrity, power integrity, and electromagnetic compatibility (EMC).
  • Experience with power management systems, including DC/DC and AC/DC, and thermal management.
  • Experience with digital logic design using VHDL or Verilog.
  • Knowledge of industry regulations and standards such as UL, CE, and FCC.
  • Proven track record of shipping multiple generations of products.
  • Ownership, analytical thinking, complex problem-solving, communication, collaboration, and ability to work effectively across diverse teams.

Culture & Benefits

  • Innovation-focused environment centered on creating technology for future datacenter AI infrastructure.
  • Cross-functional collaboration across hardware, software, engineering, manufacturing, and supply chain disciplines.

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