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Director Cpu Management jobs at Nvidia

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57 jobs found
31.08.2024
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Nvidia Senior Director Technical Marketing United States, California

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Description:
Build and mentor a high-impact global product marketing team. Technically translate NVIDIA invention and the inventions across the AI space into explanations that resonate with both the pioneers in the...
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31.08.2024
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Nvidia Director Strategic Partner Agreements United States, California

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Description:
Drive and Execute complex Partner agreements to timely and successful closure. You will be the subject matter expert for our complex agreements creating contract policy, contract templates and playbooks in...
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31.08.2024
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Nvidia Director CPU Management United States, Texas

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Description:
Lead all aspects of CPU (and related) IP project execution from concept through productization. Work closely with Architecture, RTL design, Verification, and VLSI leaders to develop project goals and deliver...
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31.08.2024
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Nvidia Manager Technical Project Management– Developer Programs United States, California

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Description:
Leading and mentoring a growing team of technical project and product managers, encouraging a collaborative, inclusive, and innovative team culture. Demonstrating and championing Agile methods for project management, including scope...
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30.08.2024
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Nvidia Director End-to-End Data Systems United States, California

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Description:
As a Senior Leader, you will be both the technical and managerial leader to implement the expansion of the Operations Data Platform. You will develop the strategic direction for the...
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18.08.2024
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Nvidia Director AI ML Platform United States, California

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Description:
Lead the strategic direction, development, and continuous improvement of the AI/ML platform, ensuring it meets the needs of internal researchers for large-scale model training and deployment. Optimize efficiency and resilience...
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17.08.2024
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Nvidia Manager Technical Program Management - Deep Learning Softwar... United States, California

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Description:
Define and drive process within the fast paced field of machine learning and deep learning. Develop critical metrics, program schedules to measure release health, predictability, and achievements. Identify failures, lead...
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