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Principal Software Engineer - Full Stack jobs at Nvidia

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607 jobs found
11.08.2024
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Nvidia Principal Software Engineer - Full Stack United States, Texas

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Description:
Build amazing products to improve enterprise productivity using Gen-AI & Co-pilot experiences!. Technically, lead the team to craft, develop, test, and maintain integrated applications and products. Derive technology roadmaps for...
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31.08.2024
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Nvidia Principal Engineer Systems Software United States, California

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Description:
Architecting the product to discover cluster resources such as hosts, GPUs, and switches, and automate debug and repair actions on these resources. Designing the platform to support GPU clusters across...
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31.08.2024
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Nvidia System Software Engineer Boot Stack SW United States, Texas

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Description:
Trusted application architecture, design and development in ARM's trusted environment. Software design and development for data-center and automotive systems firmware to take it through the product lifecycle. Debug and root...
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12.08.2024
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Nvidia Senior Full-Stack Web Applications Software Engineer United States, Texas

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Description:
Working on backend and frontend design and development of web applications. Collecting requirements and providing consultation to end users about their needs and use cases. Analyzing performance bottlenecks. Supporting and...
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30.08.2024
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Nvidia Principal Engineer Server RAS United States, Texas

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Description:
Design, architect, and deliver server-level RAS for NVIDIA’s data center products. Define RAS requirements that ensure compliance with industry standards and customer expectations for scale-out environments. Develop fault detection, isolation,...
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31.08.2024
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Nvidia Principal Software Architect GPU Networking Research United States, Texas

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Description:
Enhance NVIDIA's future GPU Networking offerings for accelerating AI workloads. Lead vision, architecture and design of such technologies. Lead proof-of-concept development to evaluate and drive such technologies. Identify and evaluate...
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30.08.2024
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Nvidia Principal Engineer Distributed Machine Learning United States, California

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Description:
Design and develop new user-friendly APIs and libraries to optimally use existing DL/ML frameworks in GPU-enabled Spark clusters for distributed DL/ML training and inference at scale. Design and develop GPU...
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