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6 дней назад

AI GPU Cache Designer

220 920 - 311 890$
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
AI GPU Cache Designer (AI/SoC Hardware): Developing cache subsystems for Intel AI SoCs through microarchitecture, Verilog/SystemVerilog RTL coding, integration, and simulation with an accent on power, performance, and area optimization. Focus on timing closure, formal equivalence, silicon bring-up, post-silicon validation, and solving complex multicore GPU cache design challenges.

Location: On-site in Santa Clara, California, United States; additional locations include Folsom, California; Hillsboro, Oregon; and Austin, Texas.

Annual salary: $220,920–$311,890 USD

Company

hirify.global develops AI hardware solutions ranging from edge devices to data center accelerators.

What you will do

  • Drive cache subsystem microarchitecture for AI SoCs and evaluate performance, power, and area trade-offs.
  • Define microarchitecture specifications and implement synthesis- and timing-clean RTL in Verilog/SystemVerilog.
  • Integrate SoC IP blocks and collaborate with verification teams on validation and coverage.
  • Develop timing constraints and support synthesis, timing closure, and formal equivalence checks.
  • Lead silicon bring-up, post-silicon validation, debugging, and performance analysis.
  • Mentor junior engineers and advance design methodology and quality practices.

Requirements

  • Bachelor’s degree with 12+ years, Master’s degree with 8+ years, or PhD with 6+ years of RTL design experience in ASIC/SoC development.
  • Advanced Verilog/SystemVerilog and hands-on SoC system integration experience.
  • Expertise in AXI, AHB, and embedded processor architectures.
  • Experience with clock domain crossings, power optimization, and timing closure.
  • Proficiency in Python or TCL for automation and design-flow customization.
  • Ability to work on-site at a listed United States location.

Nice to have

  • Knowledge of high-speed and low-power design techniques.
  • Experience with EDA tools including VCS, Questa, IES, Spyglass, Xilinx Vivado, or Altera Quartus II.
  • Experience designing multicore CPU subsystems and GPU caches.
  • Leadership skills and experience solving complex technical challenges.

Culture & Benefits

  • Work with engineers developing AI hardware for edge and data center applications.
  • Competitive pay with stock bonuses.
  • Health, retirement, and vacation benefits.
  • Position of Trust requiring an extended background investigation, subject to applicable law.

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