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Senior Research Scientist Multimodal Foundation Models Robotics jobs at Nvidia

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631 jobs found
23.06.2024
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Nvidia Senior Research Scientist Multimodal Foundation Models Robot... United States, California

22.06.2024
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Nvidia Senior Research Scientist Security Privacy United States, Texas

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Description:
Understand and analyze the potential vulnerabilities and risks in future systems for AI and AI-based systems. Develop creative hardware, software, and algorithms to enable trustworthy AI systems with strong and...
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01.09.2024
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Nvidia Senior Research Scientist Generative AI Graphics United States, California

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Description:
Research on AI models that will improve the quality and/or performance of real-time rendering. Research on deep learning-based approaches for real-time image generation. Prototype your AI models in real-time game...
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11.08.2024
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Nvidia Senior Quantum Error Correction Research Scientist United States, Texas

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Description:
Develop new QEC codes with AI and ML techniques. Collaborate with QPU builders and accelerated computing experts to realize QEC simulations and experiments. Discover high impact problems in FTQC NVIDIA...
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31.07.2024
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Nvidia Senior DevOps Engineer - Robotics United States, California

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Description:
Automation and Scripting: Develop and maintain scripts for automation of various tasks, including build, deployment, and monitoring. Build and CI/CD Management: Set up and manage continuous integration and continuous deployment...
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24.06.2024
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Nvidia Senior Research Scientist System Software I/O Architecture United States, California

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Description:
Develop novel architectures and system software implementations to enable scalable multi-GPU platforms. Understand and analyze the interplay between operating systems, CPU and GPU architectures, and efficient algorithm designs. Collaborate with...
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23.06.2024
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Nvidia Applied Deep Learning Research Scientist Sparsity United States, California

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Description:
Researching methods (adjusting model architectures, training procedures, etc.) to enable sparsity in neural networks while maintaining the quality of the results. Proposing hardware features to enable sparsity, studying their impact...
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