AI Frameworks Engineer: SGLang & Kernels

Intel Corporation

Prescott (AZ)

Presencial

USD 45.000 - 89.000

Jornada completa

Hace 11 días
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Descripción de la vacante

Intel Corporation is seeking a College Grad to design and develop AI software, optimize DL frameworks, and transform neural network graphs. You will work on distributed model efficiency and collaborate with researchers, applying your C++/Python skills and DL theory to real-world problems.

The role emphasizes on-site work in Shanghai with opportunities to contribute to public upstream and advanced AI systems, leveraging PyTorch and related tools.

Formación

  • Master's or Ph.D. in Computer Science, AI, Software Engineering, or related field.
  • Proficiency in C++ and Python.
  • Solid foundations in Deep Learning theory with hands-on experience.
  • Fluent English communication (written and spoken).
  • Experience in performance optimization or high-efficiency kernel development is a plus.
  • Experience with PyTorch, SGLang, and vLLM is a plus.
  • Experience with LLMs and understanding model structures is a plus.

Responsabilidades

  • Designs and develops AI software and frameworks (e.g., SGLang).
  • Transforms neural network graphs and develops ML primitives.
  • Profiles distributed DL models to identify bottlenecks and proposes solutions.
  • Optimizes code for various hardware backends and collaborates with researchers.

Conocimientos

C++
Python
DL theory
English proficiency
Problem solving
Performance optimization
LLM/AI frameworks
PyTorch/SGLang/vLLM
Model architectures

Educación

Master or PhD in CS/AI/Software Eng

Descripción del empleo

Intel Corporation is seeking a College Grad to design and develop AI software, optimize DL frameworks, and transform neural network graphs. You will work on distributed model efficiency and collaborate with researchers, applying your C++/Python skills and DL theory to real-world problems.

The role emphasizes on-site work in Shanghai with opportunities to contribute to public upstream and advanced AI systems, leveraging PyTorch and related tools.

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