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Senior Deep Learning Engineer jobs at Nvidia

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776 jobs found
01.09.2024
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Nvidia Field Application Engineer United States, Texas

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Description:
Be a technical specialist on GPU and networking products directly supporting sales account managers, working closely with the team to secure design wins. Actively establish the technical relationship with our...
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01.09.2024
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Nvidia Principal R&D Software Architect - Machine Learning VLSI United States, Texas

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Invent and optimize new methods for chip- and block-level floorplanning with PPA (performance, power, area) optimization, across a suite of internal tools. These tools already outperform the industry's alternatives in...
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01.09.2024
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Nvidia Senior System Software Engineer - Performance United States, Texas

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Description:
Design, develop, test, and optimize software for our next-generation SoCs. In both pre-silicon and post-silicon phases of execution. Review architectural performance bottlenecks for various system wide workloads. Identify HW/SW policies...
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01.09.2024
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Nvidia Senior CAD Developer Timing Physical Design Optimization United States, California

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Invent and optimize new methods for increasing chip frequency while minimizing power consumption across a suite of internal optimization tools. These tools already outperform the industry's alternatives in high capacity...
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01.09.2024
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Nvidia Senior DFT Methodology Engineer United States, California

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Description:
As a member in our team, you will work next generation test architectures. You will work with multi-functional teams, implementing brand-new designs in test access mechanisms, high-speed test interfaces, and...
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01.09.2024
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Nvidia Senior Software Architect - Deep Learning HPC Communications United States, Texas

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Description:
Investigate opportunities to improve communication performance by identifying bottlenecks in today's systems. Design and implement new communication technologies to accelerate AI and HPC workloads. Explore innovative solutions in HW and...
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01.09.2024
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Nvidia Senior Solutions Architect HPC United States, Texas

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Description:
Partnering with other solution architects, engineering, product and business teams. Understanding their strategies and technical needs and helping define high-value solutions. Dynamically engaging with developers, scientific researchers, data scientists. Working...
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Description:
Be a technical specialist on GPU and networking products directly supporting sales account managers, working closely with the team to secure design wins. Actively establish the technical relationship with our...
Full job details
As a Senior Deep Learning Engineer at NVIDIA, you will get to use the cutting-edge tools and technologies to build world-changing products and services. As a member of the team, you will have the opportunity to push the boundaries of deep learning and artificial intelligence for the benefit of all humanity. The Senior Deep Learning Engineer role requires a thorough understanding of deep learning and AI algorithms and technologies, and the ability to quickly develop practical solutions and work with highly parallelized hardware architectures. You will also be supported in architecting and implementing projects that range from visualization systems to assistive robotic systems. At NVIDIA, Senior Deep Learning Engineers have access to advanced research and development capabilities. You’ll have access to NVIDIA Jetson TX2 and AGX Xavier Module, and you’ll develop important skills while working with computer vision, natural language processing, robotics, and virtual reality. The ideal candidate for this role will possess strong technical skills, excellent communication skills, and have proven experience in a variety of complex, high-impact projects. This person should also possess a keen interest in coding and developing deep learning systems, be willing to explore new tools, and be eager to work in an agile team environment. The Senior Deep Learning Engineer role at NVIDIA is an ideal opportunity for those seeking an innovative environment to work in and will have the chance to revolutionize the industry by taking on extremely meaningful technological challenges.