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About This Role
- Artificial Intelligence (AI) is transforming our lives and becoming ubiquitous.
- INTEL is at the heart of this revolution.
- We provide a robust software stack that seamlessly integrates into the frameworks used by millions of end-users worldwide.
- As our AI Engineering team in Shanghai continues to expand, we are looking for a passionate Graduate Technical Intern to help us deliver high-performance, high-quality deep learning solutions.
- Your responsibilities will include: Performance Optimization: Optimizing key use cases and models, as well as debugging and resolving issues related to accuracy and memory management.
- Deployment Architecture: Designing and developing model deployment frameworks, such as leveraging new features in vLLM to accelerate inference.
- Kernel Development: Developing and debugging high-performance Kernels specifically for INTEL GPU/CPU.
- Architectural Alignment: Engaging in deep technical syncs with architects and peers to iterate on solutions and provide progress transparency.
- Innovation: Transforming innovative ideas into production-ready features.
Qualifications
- Current Master’s or Ph.D. student in Computer Science, Artificial Intelligence, Software Engineering, or related fields.
- Strong proficiency in C++ and Python programming.
- Solid understanding of Deep Learning fundamentals with proven practical experience.
Nice to Have
- Experience with LLMs, Multimodal models, or Agents, with a deep understanding of model architectures.
- Familiarity with PyTorch and high-performance inference frameworks like vLLM.
- Hands-on experience in GPU Kernel development (e.g., CUDA/Triton).
- Availability: Minimum 4 days per week with a commitment of 6 months or longer.
Sourced directly from Intel’s career page
Your application goes straight to Intel.
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Specialisation
Open roles at Intel
745 positions
Job ID
/job/PRC-Shanghai/Workload-optimization-intern_JR0283193
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