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Develop and enhance tools for deep learning performance analysis, collaborating with teams to improve model efficiency and implement algorithms for evaluation.

The Senior Automation Engineer will develop and manage automation for NVIDIA's GPU Cloud, focusing on network automation, service architectures, and integration with APIs to streamline processes across global operations.

Lead a team optimizing GPU compression techniques, drive innovation in performance, mentor team members, and collaborate with stakeholders on engineering initiatives.

The role involves designing and developing GPU-accelerated Python numerical computing libraries, architecting algorithms, optimizing performance, and prototyping integrations with frameworks.

Manage a team developing image and data processing solutions. Lead projects, align roadmaps with goals, foster innovation, and ensure delivery.

As a Solutions Architect at NVIDIA, you'll guide customers in building AI solutions with cutting-edge technology while collaborating across teams. You will design scalable systems and engage with diverse stakeholders to optimize agentic workflows.

Develop and enhance NVIDIA's CUDA Python features, improve UX and performance, and engage with the Python community to drive adoption of NVIDIA's technology.