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Soc Design Top Level Assembly Methodologies Engineer jobs at Nvidia

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564 jobs found
22.06.2024
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Nvidia SOC Design Top Level Assembly Methodologies Engineer United States, California

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Description:
Be an integral part of the SOC Design team to develop and improve our RTL top-level assembly process and tool set. Top-level assembly: Test new code/features and Address questions and...
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24.06.2024
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Nvidia Senior SOC Design Engineer United States, Texas

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Description:
Define and develop system-level methodologies and tools to build SOCs in an efficient and scalable manner. Identify inefficiencies and improvement opportunities in the front-end chip implementation process and propose ideas...
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30.07.2024
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Nvidia Senior SOC Design Engineer United States, Texas

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Description:
Work in NVIDIA's semi-custom engineering team building customized chip solutions targeting data center/cloud, AI, self-driving, 5G, gaming, and consumer use cases. Collaborate with Architects, Chip Leads, and Customers on SOC...
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11.08.2024
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Nvidia Senior Software Developer SOC Design Tools United States, Texas

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Description:
Invent and optimize new methods for SOC/IP integration tools. Develop algorithms to allow designers to efficiently create, review, and optimize chip-level connectivity. Devise strategies for rapidly analyzing the impact of...
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23.06.2024
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Nvidia System Level Test Engineer United States, California

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Description:
Build, validate, and support the manufacturing test programs for our GPU products. We work with many different groups including ASIC, ATE, systems/silicon validation, software, VBIOS, product engineering, and production teams...
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29.07.2024
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Nvidia Senior Verification Engineer SoC United States, Texas

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Description:
Work with some of the best engineers to define verification strategies and execute plans at full chip level. Build and continuously reform verification infrastructure and methodologies to meet the demands...
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22.06.2024
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Nvidia SoC Silicon Power Analysis Engineer United States, California

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Description:
Analyzing and optimizing power and performance across technical, product, and usage constraints for Nvidia SoCs in driving, robotics, multimedia, edge computing, and other embedded applications. Working with teams throughout the...
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