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11 часов назад

RTL Design Engineer (AI)

120 000 - 225 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
junior/middle/senior
Английский
b2
Страна
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
RTL Design Engineer (AI): Designing and implementing high-performance, low-power RTL components for next-generation AI processors with an accent on datapaths, controllers, memory subsystems, and interconnects. Focus on defining microarchitecture, driving timing closure, and solving demanding performance, power, area, and correctness challenges across the full hardware development flow.

Location: Austin, TX or Palo Alto, CA; hybrid

Salary: $120,000–$225,000+ annually

Company

hirify.global develops analog AI computing technology for edge devices, cloud, and data center environments, including applications in robotics, industrial systems, automotive, aerospace, and defense.

What you will do

  • Design and implement RTL for next-generation AI processors.
  • Develop and optimize high-performance, low-power datapaths, controllers, memory subsystems, and interconnects.
  • Define microarchitecture with architecture teams and ensure functional correctness with verification engineers.
  • Drive timing closure in collaboration with synthesis and physical design teams.
  • Participate in design reviews and improve RTL coding practices and methodologies.

Requirements

  • Bachelor’s, Master’s, or Ph.D. in Electrical Engineering, Computer Engineering, or Computer Science.
  • 3+ years of industry experience in RTL design, microarchitecture, and architecture development.
  • Understanding of pipelines, caches, coherence, memory hierarchies, and computer architecture fundamentals.
  • Proficiency in Verilog/SystemVerilog and industry-standard RTL coding guidelines.
  • Familiarity with timing constraints, physical design considerations, EDA flows, simulation, synthesis, linting, and static timing analysis.
  • Strong problem-solving and communication skills for cross-functional collaboration.

Culture & Benefits

  • Collaborative and respectful working environment.
  • Tools, support, and autonomy to deliver meaningful work.
  • Team culture focused on professionalism, creativity, integrity, and inclusion.
  • Opportunity to work on challenging AI hardware and custom dataflow architecture.

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