NVIDIA AI
US - California - Santa Clara
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Build state-of-the-art World Foundation Models and drive end-to-end performance analysis for data center and edge deployments. Develop infrastructure to automate data ingestion, curation, pre-training, and deployment for Physical AI systems.
Requirements: Requires a Master's degree in a STEM field and 5 years of experience with large-scale parallel distributed systems and AI workload optimization. Proficiency in Python, C++, and Distributed PyTorch is essential, along with a deep understanding of World Foundation Models.
Key Skills: Distributed PyTorch, Python, C/C++, CUDA, Performance Modeling, Computer Architecture, Distributed Systems, World Foundation Models, Quantization, Data Curation, Transformer Models, Cloud Service Providers, DNNs, Networking, Storage Systems, Edge Deployment
Benefits: Equity, Benefits
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