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Senior Solutions Architect Ai Infrastructure jobs at Nvidia

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1,272 jobs found
17.09.2025
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Nvidia Software Architect NIM Factory United States, Texas

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Description:
Define the end-to-end technical architecture for the NIM Factory, from container build systems and CI/CD to Kubernetes deployment patterns and runtime optimization. Drive technical strategy and roadmap, making high-impact decisions...
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16.09.2025
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Nvidia Principal Datacenter New Product Introduction Architect - DG... United States, Texas

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Description:
Lead technical activities for new product introductions at scale with focus on hybrid deployments between cloud and on-prem. Providing expertise in new product introduction planning spanning infrastructure workflows, hardware, software...
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16.09.2025
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Nvidia Senior Manager Software Engineering - NIM Factory United States, Texas

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Description:
Lead the NIM Factory engineering team (containers, orchestration, workflow, observability, platform APIs); attract, hire, onboard, and grow top talent. Define vision, strategy, and roadmap for how we build, ship, and...
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16.09.2025
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Nvidia Principal Solution Architect – End Supply Chain Business Pro... United States, California

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Description:
Lead the transformation of coordinated business processes across demand & supply planning, manufacturing execution, sales, logistics, NPI engineering, product costing and finance. Develop future-focused concepts, processes, and system solutions that...
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16.09.2025
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Nvidia Senior Manager Accelerated Compute Systems United States, California

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Description:
Leading a team of accelerated compute architects. Collaborating closely with hardware design, software engineering, product, and research teams to shape the direction of NVIDIA’s computing platforms. Conducting in-depth performance analysis...
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16.09.2025
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Nvidia Senior GenAI Algorithms Engineer United States, Texas

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Description:
Contribute to the cutting-edge open source NeMo framework. Develop and maintain SOTA GenAI models (e.g., large language models (LLMs), multimodal LLMs). Tackle large-scale distributed systems capable of performing end-to-end AI...
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16.09.2025
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Nvidia Senior Deep Learning Software Engineer Inference United States, Texas

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Description:
Performance optimization, analysis, and tuning of DL models in various domains like LLM, Multimodal and Generative AI. Scale performance of DL models across different architectures and types of NVIDIA accelerators....
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Description:
Define the end-to-end technical architecture for the NIM Factory, from container build systems and CI/CD to Kubernetes deployment patterns and runtime optimization. Drive technical strategy and roadmap, making high-impact decisions...
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At Expoint, we are excited to share details about the senior solutions architect AI infrastructure position at NVIDIA. For over 30 years, NVIDIA has been at the forefront of artificial intelligence technology, making them one of the most influential organizations in the tech industry today. As the Senior Solutions Architect AI Infrastructure, you'll be responsible for working with customers to design, build, and implement AI infrastructure for their businesses. You will use your expertise in hardware and software engineering and in-depth knowledge of network configuration, high performance computing, and storage systems. This is an excellent opportunity to build on your current knowledge and become a cutting-edge leader in the field of AI engineering. In addition, you will build out the entire AI system, analyze customer needs, and design the ideal solution to fit customer requirements. You must be able to communicate clearly and effectively with customers to ensure their questions and concerns are answered and their desired system meets their needs. Training and educating customers regarding AI adoption is also a priority. At NVIDIA, you will have the opportunity to collaborate with some of the top AI experts in the industry and work on the forefront of new technologies. You will be part of an esteemed organization that values innovation and creativity. And you’ll have the satisfaction of helping customers achieve their desired results with advanced and reliable AI solutions. Interested applicants should have a bachelor’s degree in computer science, engineering, mathematics, or a related field and at least 7 years of AI infrastructure experience. If you’re looking for a dynamic role that puts you at the forefront of AI engineering, this is the perfect opportunity for you. Apply now to become the next Senior Solutions Architect AI Infrastructure at NVIDIA.