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2 дня назад

Software Engineer (AI)

100 000 - 500 000$
Формат работы
hybrid
Тип работы
fulltime
Английский
b2
Страна
US/Canada
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Software Engineer (AI/C++): Designing and implementing the TT-Fabric networking layer for distributed AI compute clusters with an accent on low-level communication and hardware-software interaction. Focus on optimizing data movement, synchronization strategies, and extracting maximum performance from RISC-V and AI processors.

Location: Hybrid based out of Santa Clara (CA), Austin (TX), or Toronto (ON)

Salary: $100k - $500k (including base and variable compensation)

Company

hirify.global is building the world’s fastest and most efficient AI compute clusters using high-performance RISC-V CPUs and cutting-edge AI technology.

What you will do

  • Architect and maintain TT-Fabric, the low-level networking library powering distributed inference and training.
  • Design scalable communication systems to coordinate thousands of AI processors efficiently.
  • Optimize protocols, synchronization strategies, and data movement to extract maximum hardware performance.
  • Integrate TT-Fabric APIs into the broader programming model in collaboration with AI and hardware teams.
  • Help define the long-term architecture of the distributed systems stack.

Requirements

  • Deep experience with C or C++ and comfort working in low-level or bare-metal environments.
  • Strong systems engineering skills with a focus on performance tuning and eliminating protocol inefficiencies.
  • Knowledge of networking, synchronization, and communication across large clusters.
  • Ability to reason from first principles and challenge industry conventions.
  • Must be eligible to access U.S. export-controlled technology (compliance with EAR regulations).

Culture & Benefits

  • Highly competitive compensation package and benefits.
  • Collaborative environment that values curiosity and solving hard problems.
  • Opportunity to shape the infrastructure that future AI models will run on.
  • Work with a diverse team of technologists building high-performance RISC-V CPUs from scratch.

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