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You will develop and enhance functionalities for Triton Inference Server tools, collaborating with researchers and engineers to analyze performance needs and automate testing processes. Your role includes setting up and analyzing performance for deep learning models, integrating tools, and contributing to technical documentation.

As a Senior Responsible AI Engineer at NVIDIA, you will be evaluating, refining, developing, testing, and automating AI research, practices, and tools to ensure ethically responsible AI models, datasets, and software. You will contribute to shaping NVIDIA's role in ethical AI development by identifying, evaluating, and integrating software tools that promote responsible AI practices.

Join NVIDIA's Software Infrastructure and Operations team as a Senior Engineer. Design and maintain Kubernetes based environments, develop automation tools, deploy new data center infrastructure, and work on cloud infrastructure. Strong background in Kubernetes, programming, databases, and infrastructure management is required. Bachelor's or Master's degree in CS or related field is preferred.

The role involves developing optimized GPU algorithms for data analytics and ML, architecting distributed GPU algorithms for single and multi-node environments, benchmarking solutions, and collaborating with teams to improve integrations with RAPIDS and other high-level frameworks.

The Senior ATE Test Development Engineer will develop and implement ATE test programs for GPU/Tegra/Automotive products, improve efficiency through scripting and tools, collaborate cross-functionally to debug failures, and enhance test methods. This role requires significant experience in IC design and ATE testing.