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Develop silicon photonics and semiconductor test programs, conduct device characterization, and lead testing concept development. Collaborate for efficient solutions.

NVIDIA seeks a Solutions Architect with expertise in Deep Learning to optimize neural network training, collaborate with customers, and ensure effective use of advanced AI technologies.

The role involves optimizing large-scale inference solutions using deep learning, collaborating with customers and teams to enhance AI performance and product features.

Develop, implement, and maintain large-scale HPC/AI clusters, automate processes using IaC, CI/CD pipelines, and troubleshoot complex systems.

Responsible for leading the architecture of cloud networking, designing system architectures for DPUs and NICs, and developing solutions across HW and application levels.

As a Solutions Architect, you will engage with partners to drive AI initiatives, support GPU and networking solutions, and manage technical projects in datacenter deployments.

The Principal Software Architect will lead architecture and design efforts for GPU Networking in AI workloads, focusing on technological innovation in AI data centers, performance optimization, and strategic partnerships.

Design and maintain large scale HPC/AI clusters, manage job scheduling, develop automation tools, and troubleshoot systems for performance enhancements.