Deep Learning Performance Architect Intern

1 month ago


Shanghai, Shanghai, China NVIDIA Full time
Deep Learning Performance Architect Intern

NVIDIA is pushing the boundaries of deep learning performance by developing innovative processor and system architectures. We are seeking a talented deep learning system performance architect to contribute to our AI performance projection and analysis efforts.

Key Responsibilities:

  • Analyze state-of-the-art AI models on various GPU hardware platforms
  • Identify performance bottlenecks and propose optimizations
  • Perform in-depth performance analysis of deep learning workloads

Requirements:

  • BS, MS, or PhD in a relevant field (CS, EE, Math, etc.)
  • Experience with popular AI models (e.g., LLM and AIGC models)
  • Familiarity with deep learning software frameworks (e.g., Torch, JAX, TensorFlow)
  • Knowledge of hardware architectures for deep learning applications

About NVIDIA:

NVIDIA is a leader in the development of processor and system architectures that accelerate various deep learning applications. Our team is passionate about pushing the boundaries of AI performance and innovation.



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