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The role involves building AI inference systems, optimizing GPU performance, and developing benchmarking methodologies for large-scale deployments.

The role involves developing AI and ML applications to enhance chip design, collaborating with hardware teams, and creating innovative tools for productivity.

As a Networking Solutions Architect at NVIDIA, you will design and deploy AI infrastructure, optimize solutions, and collaborate with partners on high-performance networking.

The Senior ASIC Verification Engineer will verify high-speed coherent interconnect designs, develop verification infrastructure, and ensure correctness of the designs while collaborating with various teams.

The engineer will develop algorithms and optimizations for NVIDIA's LPX inference stack, focusing on compiler components, performance metrics, and collaboration with hardware teams.

As a Senior Software Engineer, you'll work with large-scale LLM serving, improve performance on NVIDIA's inference stack, and collaborate with customers on benchmarking and optimization.

Develop algorithms and optimizations for LPX inference and compiler stack, focusing on deep learning and performance enhancements across NVIDIA systems.

The role involves developing verification infrastructure, executing test plans, ensuring code coverage, and collaborating with design teams for post-silicon verification.

Lead the strategy and evolution of internal hardware infrastructure tools used in ASIC development, optimize workflows, and drive cross-functional alignment to enhance engineering productivity.

Drive AI-enabled ASIC development methodology by identifying cross-stage bottlenecks, building data pipelines and metrics, creating automation and AI models, mentoring engineers, and evaluating advances in AI and EDA to improve predictability, convergence, and cycle time.