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2 дня назад

AI Frameworks Engineer (Model and Kernel Optimization)

Формат работы
onsite
Тип работы
fulltime
Английский
b2
Страна
China
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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TL;DR
AI Frameworks Engineer (Model and Kernel Optimization) (Deep Learning/C++/Python): Optimizing deep learning models and deployment architectures for high-performance inference with an accent on accuracy, memory management, and accelerator kernel development. Focus on implementing vLLM and SGLang features, developing high-performance kernels for Intel accelerators, and solving complex model optimization challenges.

Location: On-site in Shanghai, China

Company

AI engineering organization developing software stacks and high-performance deep learning solutions for customer frameworks and Intel accelerators.

What you will do

  • Optimize performance for key AI use cases and models.
  • Debug and resolve issues involving model accuracy and memory management.
  • Design and develop model deployment architectures for accelerated inference.
  • Implement new features in vLLM and SGLang, including P/D disaggregation.
  • Develop and debug high-performance kernels for Intel accelerators.
  • Collaborate with engineers and architects to discuss issues, propose solutions, and gather feedback.

Requirements

  • Master's or Ph.D. degree in Computer Science, Artificial Intelligence, Software Engineering, or a related field.
  • Strong programming skills in C++ and Python.
  • Solid understanding of deep learning fundamentals and hands-on experience.
  • Proficient written and spoken English.
  • On-site presence in Shanghai is required.
  • Strong problem-solving skills and proactive thinking.

Nice to have

  • Experience with LLMs or AIGC and understanding of model architectures.
  • Experience with PyTorch, vLLM, or SGLang.
  • GPU kernel development experience.

Culture & Benefits

  • Full-time position for a college graduate.
  • Shift 1 schedule in China.
  • Collaborative work with teammates, partners, and architects.
  • Ethical hiring practices with no recruitment or medical examination fees.

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