Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
SoC Architect (AI): Defining architectures and microarchitectures for complex SoCs, subsystems, and IP blocks while building performance, power, and area models with an accent on memory systems, interconnects, cache coherence, and PPA trade-offs. Focus on taking architectures from specification to tapeout, evaluating AI-proposed designs, and translating customer requirements into silicon.
Location: Palo Alto Office, USA
Company
hirify.global develops world models and agents for learning, evaluating, planning, experimenting, and interacting with the physical world, with an initial focus on hardware, electronics systems, and semiconductors.
What you will do
Own architecture and microarchitecture for SoCs, subsystems, and IP blocks from requirements through specification.
Build performance, power, and area models to support trade-off decisions before RTL implementation.
Define memory hierarchies, interconnects, and interfaces, and lead architecture reviews.
Write specifications for RTL, verification, and physical design teams.
Partner with ML researchers to teach models expert architectural reasoning and evaluate proposed architectures.
Work with customers to translate product requirements into silicon.
Requirements
8+ years of experience in SoC, CPU, GPU, accelerator, or networking architecture.
Demonstrated experience taking architectures from specification to tapeout.
Strong performance modeling skills using C++, SystemC, Python, or equivalent.
Deep understanding of memory systems, interconnects, cache coherence, and PPA trade-offs.
Clear technical writing skills and the ability to lead reviews across teams.
Nice to have
Experience with AI/ML accelerators or chiplet-based designs.
Hardware/software co-design experience.
Interest in how AI can change architecture exploration.
Culture & Benefits
Work on real silicon programs with major semiconductor companies.
Collaborate with ML researchers on AI-assisted architecture exploration.
Join a team backed by Silicon Valley investors, Stanford University, and experienced semiconductor and technology leaders.
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