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This role involves optimizing power efficiency in GPUs using AI, analyzing power data, developing models, and collaborating across teams.

The role involves leading AI networking system transformations, collaborating with teams on product features, and managing customer engagements for innovative networking solutions.

As a Senior System Debug Engineer, you'll perform failure analysis, debug GPU datacenter products, and develop corrective action plans while collaborating with cross-functional teams.

The Senior Software Engineer will build and optimize CUDA kernels for molecular dynamics simulations, deliver core simulation software, and collaborate with teams to implement new algorithms.

The Board Product Development Engineer will support the development and validation of NVIDIA's engineering boards, work with cross-functional teams, debug multi-disciplinary problems, and optimize manufacturing processes for board products.

Design and optimize ASIC floorplans, collaborate with teams for improvements, and build tools for execution efficiency in chip design.

Design hardware accelerators and processors, develop power metrics, and collaborate with teams to deliver efficient, high-performance RTL.

Responsible for front-end design implementation methodologies, flow automation, application support, and collaborating to solve implementation issues.

Design, build, and deploy scalable cloud solutions for GeForce NOW. Collaborate on features, optimize systems, mentor team members in automation and infrastructure practices.

Design and deploy AI applications for telecommunications networks, focusing on generative models and infrastructure improvements, while providing technical guidance and building enterprise solutions.