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NVIDIA is seeking a Python Software Engineer to GPU-accelerate data engineering for Large Language Model (LLM) tools and libraries. Responsibilities include developing efficient systems for data processing on GPU-accelerated environments, optimizing libraries for LLM training, and collaborating with ML researchers on full-stack data preparation pipelines.

As a Senior GPU Power Architect, you will enhance GPU architecture by developing power models and new hardware features for graphics and deep learning workloads. You'll collaborate with chip architects, identify power improvement opportunities, and work on simulators and RTL to validate new architectures.

The Senior Board Test Engineer at NVIDIA will develop manufacturing GPU/CPU test solutions, create test strategies for new product features, support test content development, and introduce new test methodologies to enhance production efficiency while collaborating with various teams.