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33 минуты назад

RTL Engineer, Networking ASIC

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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Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
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TL;DR
RTL Engineer, Networking ASIC (AI infrastructure): Defining, architecting, implementing, and productizing high-speed networking ASICs with an accent on packet buffering, queuing, scheduling, QoS, and protocol support. Focus on optimizing pipelined architectures, validating ASIC designs, and solving complex packet-queuing issues across hardware, firmware, and systems teams.

Location: Saratoga, CA, United States

Company

hirify.global is a Silicon Valley hardware startup developing silicon, packaging, software, and systems solutions that accelerate AI data centers.

What you will do

  • Define, specify, architect, implement, and productize networking ASICs.
  • Design packet buffering, queuing, scheduling, arbitration, and on-chip memory subsystems for high-speed networking chips.
  • Optimize latency, pipelining architectures, performance, and quality-of-service mechanisms.
  • Support Ethernet, IP, UCIe, and other high-speed networking protocols.
  • Implement and test ASIC designs against industry standards and performance benchmarks.
  • Debug complex packet-queuing issues in collaboration with system architects, hardware engineers, firmware developers, and verification engineers.

Requirements

  • ME or BE degree with 8–15 years of relevant experience.
  • Hands-on experience with SystemVerilog and Verilog is mandatory.
  • Strong understanding of ASIC design methodologies, including simulation, verification, synthesis, and timing adjustments.
  • Expertise in scheduling and QoS mechanism design and optimization.
  • Experience with Ethernet and IP protocols.
  • Strong analytical, troubleshooting, debugging, communication, and collaboration skills.

Culture & Benefits

  • Work with an experienced engineering team developing AI infrastructure technology.
  • Contribute directly to next-generation AI data center performance.
  • Join a startup backed by more than $200 million in funding and supported by leading hyperscalers and supply-chain partners.
  • Base salary is determined according to skills, experience, qualifications, work location, market trends, and comparable employee compensation.

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