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The role involves collaborating on software products, tracking AI Infrastructure trends, supporting product marketing, and enhancing the NVIDIA ecosystem through feedback and coordination with engineering teams.

The Senior Software Engineer will optimize AI workloads using machine learning techniques for large scale GPU and CPU clusters, focusing on resource allocation, performance analysis, and collaboration on hardware/software teams.

The role involves developing MLIR-based AI compilers for NVIDIA's inference engine, focusing on optimizations, APIs, and collaboration with hardware teams to enhance GPU performance for deep learning applications.

The HPC Cluster Engineer manages and optimizes GPU Compute Clusters for EDA and HPC workloads, ensuring performance and reliability through collaboration and automation.

The Principal Software Engineer will design high-performance NIC software, enhance AI communication paths, and collaborate with customers in networking systems.

The role involves developing AI-driven compiler technologies, optimizing workflows, integrating learning systems, and collaborating on next-gen compiler capabilities for improved performance.

The role involves developing AI models for autonomous vehicles, focusing on LLMs and VLMs, and ensuring seamless deployment and integration in production environments.

As a Principal System Architect, you'll define GPU architecture, lead cross-functional teams, evaluate power and performance, and mentor junior engineers in SoC development.

The Senior Solutions Architect for AI Cloud Services will develop solutions utilizing NVIDIA technologies, assist customers in AI adoption, and work with Cloud Service Providers to scale applications.

Develop high-performance processor and system architectures with a focus on GPU memory systems, improving efficiency and performance metrics while analyzing benchmarks and collaborating with partners.