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Responsibilities:
1. Conduct research to guide AI inference chip design and optimizations.
2. Study Low-Bit Quantization for LLM.
3. Design and optimize AI inference chip architecture for Low-Bit LLM.
4. Research and design novel AI inference chip architectures.
5. Perform AI software-hardware co-optimizations.
6. Develop and maintain tools for high-level simulation and research.
7. Contribute to publications of papers and intellectual properties.
Qualifications:
1. Master degree and above in Computer Science, Electrical & Electronic Engineering, or equivalent.
2. Good understanding of AI algorithms such as LLM.
3. Familiar with computer architecture, such as AI Accelerator, CPU, network-on-chip, memory hierarchy.
4. Experience in programming languages such as C/C++.
5. Strong learning capability, good communication and collaboration skills.
Job ID: 146120893