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15 часов назад

Machine Learning System Software Architect (AI)

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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TL;DR
Machine Learning System Software Architect (AI): Architecting high-performance machine learning system software and distributed AI training systems connecting thousands of Kunlun Accelerators and servers with an accent on system architecture, performance, power, and latency optimization. Focus on modeling prospective architectures, optimizing the hardware/software stack, and executing AI SoC designs with system, application software, verification, and validation engineers.

Location: Sunnyvale, California, United States; work at hirify.global's Sunnyvale office

Company

hirify.global is developing AI silicon and systems around its Kunlun AI SoC and accelerator platform.

What you will do

  • Architect and create high-performance machine learning system software and distributed AI training systems connecting thousands of Kunlun Accelerators and servers.
  • Develop architectural innovations for the Kunlun AI SoC roadmap and design, simulate, and evaluate machine learning solutions.
  • Build system-level ML architectures optimized for performance, power, and latency.
  • Evaluate the power, performance, and cost of architectures and subsystems, and develop scalable modeling and performance-evaluation tools.
  • Collaborate with system, application software, SoC design, verification, and validation engineers to optimize the full hardware/software stack.
  • Monitor AI industry and academic trends and build partnerships with ML researchers and application developers.

Requirements

  • 5+ years of experience architecting software solutions for machine learning, acceleration, and optimization, especially distributed training systems and HPC.
  • Knowledge of machine learning markets, technology trends, software ecosystems, and emerging applications.
  • Experience with TensorFlow, PyTorch, or PaddlePaddle, as well as CPUs, GPUs, memory systems, and accelerators.
  • Experience with performance simulation and modeling in C++.
  • MS or PhD in Electrical Engineering or Computer Engineering.
  • Excellent communication skills in both English and Chinese.

Culture & Benefits

  • Work in a highly technical AI hardware and systems environment.
  • Collaborate in small, fast-moving teams.
  • Self-directed work with opportunities to learn new skills and grow.
  • Contribute to a mission focused on advancing AI silicon and machine learning systems.

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