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Ai Software Platform Intern jobs at Intel in China

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Intel AI Workload Optimization Intern China, Shanghai

Limitless High-tech career opportunities - Expoint
Optimizing performance for key use cases/models, debugging and resolving issues related to accuracy and memory management. Designing and developing model deployment architectures, such as implementing new features on vLLM/SGLang to...
Description:
Job Description:

Artificial Intelligence (AI) is transforming our lives and is everywhere. At INTEL, we are part of this AI revolution. Our software stack integrates seamlessly into customer frameworks, which are used by millions of end users. As our AI engineering team in Shanghai continues to grow, we are looking for a passionate graduate technical intern to help us deliver high-performance and high-quality deep learning solutions to our customers. Our team’s work includes:

  • Optimizing performance for key use cases/models, debugging and resolving issues related to accuracy and memory management
  • Designing and developing model deployment architectures, such as implementing new features on vLLM/SGLang to accelerate inference (e.g., P/D disaggregation)
  • Developing and debugging high-performance kernels for INTEL accelerators
  • Communicating with direct teammates, collaborators, and architects to discuss issues, propose solutions, provide status updates, and gather feedback
  • Applying innovative ideas to enhance our products
Qualifications:
  • Currently pursuing a 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 in both written and spoken English
  • Passionate about problem-solving and proactive thinking
  • Nice to have:
    • Experience with LLMs or AIGC and a deep understanding of model architectures
    • Or experience with PyTorch, vLLM, or SGLang
    • Or experience in GPU kernel development
  • Availability to work at least 3 days per week and commit to an internship duration of more than 6 months
Student / InternShift 1 (China)PRC, Shanghai

This role will require an on-site presence. * Job posting details (such as work model, location or time type) are subject to change.
Show more
Yesterday
I

Intel Edge Computing Platform Software Development Intern China, Shanghai

Limitless High-tech career opportunities - Expoint
Designing, implementing, integrating, and performance-tuning LLM/VLM inference stacks on Intel edge devices. Developing and optimizing task scheduling, memory access, and data-sharing mechanisms across heterogeneous processors (CPU, GPU, NPU) for AI...
Description:
We build system-level software for Intel's Edge Computing platform. We specialize in system-level software for Intel's edge-computing platform, delivering a high-performance, ultra-low-latency compute foundation for verticals such as education, healthcare, industrial automation, robotics, and NAS. With AI adoption accelerating, we are now driving the rapid deployment of large language models (LLMs) and vision-language models (VLMs) on the same platform.To expand our efforts, we are recruiting an Edge-Computing Platform Software Development Intern. You will work shoulder-to-shoulder with world-class experts, master state-of-the-art technologies, and absorb industry best practices in a relaxed yet challenging environment that offers ample room for personal growth. Your responsibilities will include:• Designing, implementing, integrating, and performance-tuning LLM/VLM inference stacks on Intel edge devices.• Developing and optimizing task scheduling, memory access, and data-sharing mechanisms across heterogeneous processors (CPU, GPU, NPU) for AI inference workloads.
Qualifications:

• Candidate in Computer Science, AI, or related fields.
• Solid understanding of Linux kernel/architecture; hands-on experience with process scheduling, memory management, etc.
• Theoretical and practical background in multi-processor coordination in heterogeneous computing environments.
• Familiarity with LLM/VLM application frameworks
• Strong coding skills in C/C++, Python, Go, or Rust; clean, maintainable code is expected.
• Proven problem-solving ability-able to analyze, debug, and resolve complex technical issues independently.
• Excellent teamwork and communication skills; comfortable collaborating in a cross-functional, English-friendly environment.

Student / InternShift 1 (China)PRC, Shanghai

This role will require an on-site presence. * Job posting details (such as work model, location or time type) are subject to change.
Show more
Limitless High-tech career opportunities - Expoint
Optimizing performance for key use cases/models, debugging and resolving issues related to accuracy and memory management. Designing and developing model deployment architectures, such as implementing new features on vLLM/SGLang to...
Description:
Job Description:

Artificial Intelligence (AI) is transforming our lives and is everywhere. At INTEL, we are part of this AI revolution. Our software stack integrates seamlessly into customer frameworks, which are used by millions of end users. As our AI engineering team in Shanghai continues to grow, we are looking for a passionate graduate technical intern to help us deliver high-performance and high-quality deep learning solutions to our customers. Our team’s work includes:

  • Optimizing performance for key use cases/models, debugging and resolving issues related to accuracy and memory management
  • Designing and developing model deployment architectures, such as implementing new features on vLLM/SGLang to accelerate inference (e.g., P/D disaggregation)
  • Developing and debugging high-performance kernels for INTEL accelerators
  • Communicating with direct teammates, collaborators, and architects to discuss issues, propose solutions, provide status updates, and gather feedback
  • Applying innovative ideas to enhance our products
Qualifications:
  • Currently pursuing a 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 in both written and spoken English
  • Passionate about problem-solving and proactive thinking
  • Nice to have:
    • Experience with LLMs or AIGC and a deep understanding of model architectures
    • Or experience with PyTorch, vLLM, or SGLang
    • Or experience in GPU kernel development
  • Availability to work at least 3 days per week and commit to an internship duration of more than 6 months
Student / InternShift 1 (China)PRC, Shanghai

This role will require an on-site presence. * Job posting details (such as work model, location or time type) are subject to change.
Show more
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