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2 дня назад

Hardware Architecture Expert - 3P (AI)

342 000 - 555 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Релокация
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Hardware Architecture Expert - 3P (AI): Evaluating and guiding the design of next-generation GPU and accelerator architectures for AI infrastructure with an accent on compute throughput, memory systems, and interconnect scaling. Focus on translating vendor specifications into real-world workload performance and influencing silicon roadmaps through benchmarking and profiling.

Location: Hybrid (Must be based in San Francisco, CA)

Salary: $342K – $555K + Equity

Company

hirify.global is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity.

What you will do

  • Engage deeply with silicon vendors such as NVIDIA and AMD on GPU and accelerator architecture tradeoffs.
  • Analyze and interpret performance, power, and efficiency characteristics of next-generation hardware.
  • Evaluate compute throughput, memory systems (HBM, cache), and interconnect scaling behavior.
  • Run benchmarks and profiling to validate hardware performance against AI workload requirements.
  • Lead early bring-up and evaluation of engineering sample (ES) silicon.
  • Provide actionable feedback to vendors to influence future silicon design and roadmap decisions.

Requirements

  • Deep expertise in GPU or accelerator architecture, including performance and power tradeoffs.
  • Strong understanding of AI workload behavior and its interaction with hardware design.
  • Hands-on experience with benchmarking, profiling, and performance analysis.
  • Ability to translate low-level hardware details into system-level and workload-level impact.
  • Must be based in San Francisco, CA (hybrid work model: 3 days in office).

Nice to have

  • Prior experience working at or with silicon providers like NVIDIA or AMD.
  • Familiarity with custom ASICs or emerging AI accelerator architectures.
  • Deep knowledge of memory systems (HBM, DDR, cache hierarchies) and data movement bottlenecks.
  • Experience with early silicon bring-up or hardware validation workflows.

Culture & Benefits

  • Hybrid work model (3 days in office per week).
  • Relocation assistance provided.
  • Competitive compensation including equity.
  • Commitment to safety and inclusive perspectives in the development of AGI.

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