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Full Stack Developer Ai Llm jobs at Nvidia
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86 jobs found
20.05.2025
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Nvidia Senior AI Infrastructure Engineer - DGX Cloud United States, Texas
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Design, build, deploy, and run internal tooling for large scale AI training and Inferencing platform built on top of cloud infrastructure. Conduct in-depth performance characterization and analysis on large multi-GPU...
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20.05.2025
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Nvidia Full-Stack Developer United States, California
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Develop and maintain .NET services and applications (including APIs, background services, integrations, middleware). Apply Entity Framework with SQL Server and Postgres for robust, efficient data persistence. Implement and optimize GitLab...
20.05.2025
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Nvidia Senior Software Engineer - Robotics AI United States, California
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Work alongside top NVIDIA researchers and engineers to develop advanced AI solutions for versatile humanoid robots and embodied agents. Build reliable and scalable data processing workflows. Develop and deploy innovative...
19.05.2025
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Nvidia Principal Deep Learning Software Engineer LLM Performance United States, Texas
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Performance optimization, analysis, and tuning of LLM, VLM and GenAI models for DL inference, serving and deployment in NVIDIA/OSS LLM frameworks. Scale performance of LLM models across different architectures and...
19.05.2025
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Nvidia Principal Developer Technology Engineer United States, Texas
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In this role, you will research and develop techniques to accelerate top CSP workloads on NVIDIA’s computing platform including advanced CPUs, GPUs and interconnects. Work directly with key customers to...
19.05.2025
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Nvidia Senior Test Automation Developer United States, California
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Developing new and extending existing test strategies to guarantee the highest level of quality from both functional and performance perspectives. Your innovative approach will ensure that DriveOS meets the standards...
19.05.2025
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Nvidia Principal Generative-AI Software Engineer United States, California
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Design, post-train, and optimize novel world models (e.g., diffusion video models, VLMs, VLAs) for Physical AI applications. Contribute to highly-collaborative development on large-scale training infrastructure, high-efficiency inference pipelines, and scalable...
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Description:Full job details
Design, build, deploy, and run internal tooling for large scale AI training and Inferencing platform built on top of cloud infrastructure. Conduct in-depth performance characterization and analysis on large multi-GPU...
These jobs might be a good fit
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