AI Performance Architect Intern
1 month ago
NVIDIA is developing cutting-edge processor and system architectures that accelerate various deep learning applications. We are seeking an expert deep learning system performance architect to contribute to our AI performance projection and analysis efforts. In this role, you will have the opportunity to work on performance projection, analysis, and optimization on state-of-the-art hardware architectures for various AI workloads. Your contributions will make a significant impact on our dynamic technology-focused company.
Key Responsibilities:
- 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
- Perform performance analysis of DL workloads (e.g., LLM)
Requirements:
- BS, MS, or PhD students in relevant disciplines (CS/EE/Math, etc.)
- Experience with popular AI models (e.g., LLM and AIGC models)
- Familiarity with typical deep learning SW frameworks (e.g., Torch/JAX/TensorFlow)
- Knowledge and experience on hardware architectures for deep learning applications
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