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Nvidia Deep Learning Performance Architect China, Shanghai 421845368
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What you'll be doing:
Analyze state of the art DL networks (LLM etc.), identify and prototype performance opportunities to influence SW and Architecture team for NVIDIA's current and next gen inference products
Develop analytical models for the state of the art deep learning networks and algorithm to innovate processor and system architectures design for performance and efficiency.
Specify hardware/software configurations and metrics to analyze performance, power, and accuracy in existing and future uni-processor and multiprocessor configurations.
Collaborate across the company to guide the direction of next-gen deep learning HW/SW by working with architecture, software, and product teams.
What we need to see:
BS, MS or PhD in relevant discipline (CS, EE, Math, etc.) or equivalent experience.
5+ years work experience.
Experience with popular AI models (e.g., LLM and AIGC models)
Be familiar with typical deep learning SW framework (e.g.,Torch/JAX/TensorFlow/TensorRT)
Knowledge and experience on hardware architectures for deep learning applications
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