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What you'll be doing:
Analyze state-of-the-art AI models on various GPU hardware platforms (e.g., Client (Desktop/Laptop) platforms and SoCs)
Identify performance bottlenecks and propose optimizations
Performance analysis of DL workloads (e.g., LLM)
What we need to see:
BS, MS or PhD students in relevant discipline (CS/EE/Math etc.,)
Experience with popular AI models (e.g., LLM and AIGC models)
Be familiar with typical deep learning SW framework (e.g.,Torch/JAX/TensorFlow)
Knowledge and experience on hardware architectures for deep learning applications
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