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The role involves leading the administration of GPU-accelerated HPC clusters, providing architectural guidance, automating system management, and enhancing resource utilization. Responsibilities include coordinating storage solutions, planning for system upgrades, and collaborating with management on equipment issues.
Design and implement world-class GPU and SoC systems. Responsibilities include micro-architecture definition, RTL design and synthesis, silicon bring-up, and integration at the SoC level in a collaborative, technology-focused company.
As a key member of the ASIC Verification team at NVIDIA, you will verify GPU designs using advanced methodologies such as UVM, ensuring the correctness of ASIC design while collaborating with architects and designers.
As a Principal Software Engineer at NVIDIA, you will lead the development of visual AI software, invent and prototype tools and services, optimize production code for GPUs, and collaborate with research teams to advance computer vision technologies. Your role involves mentoring, project planning, and driving innovation in AI applications.
As a Senior ASIC Design Engineer, you will implement and deliver high-performance RTL designs, analyze architectural trade-offs, and collaborate with various teams. You will work with a range of IPs and support silicon validation activities, utilizing your expertise in ASIC design and RTL development.
As a GPU/SOC system software engineer at NVIDIA, you will design, implement, and debug changes in the NVIDIA software stack, focusing on kernel-mode software and collaborating with teams globally. Your role involves working with complex system level interactions and ensuring platform performance and robustness.
As an Operations Research Scientist at NVIDIA, you will develop analytics and optimization models for supply chain decision-making. Responsibilities include designing solutions, leading projects, applying statistical techniques, and conducting quantitative analysis to enhance profitability and market share for the business.
As a Staff Client Platform Engineer at NVIDIA, you will develop NVIDIA's Windows client platform, managing corporate devices and collaborating across business units to enhance user experience. You will leverage your software engineering and DevOps knowledge to deliver products that improve productivity and address complex challenges in corporate environments.
As a Staff Software Engineer at NVIDIA, you'll develop the cloud desktop platform, collaborating with infrastructure teams and ensuring high-quality code delivery. Your expertise in software engineering will enhance developer productivity by optimizing service performance and participating in design reviews. Staying current with industry trends is crucial for continuous improvement.
The Senior Applied Research Scientist will develop efficient models and pipelines for extracting text from various modalities including images, video, and audio. The role involves creating datasets, scaling pipelines for production, publishing research, and staying updated with advancements in retrieval systems.
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