Deep Learning Performance Architect Intern
1 month ago
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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