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About the Role
NVIDIA is seeking a motivated AI Acceleration & Optimization Engineer to join our Acceleration Computing, Optimization and Tools (ACOT) team. In this role, you will help improve the performance, scalability, and efficiency of modern AI models across NVIDIA GPU platforms. You will work with engineers across algorithms, systems, and hardware to support high-performance model deployment and development for real-world AI workloads.
As part of ACOT, you will collaborate with architecture, research, CUDA, compiler, and framework teams to help bring next-generation AI workloads from research to production with strong performance and reliability.
What you will be doing
+ Assist in optimizing AI models such as LLMs, VLMs, diffusion models, and multimodal models for inference and training on NVIDIA GPUs.
+ Profile workloads and help identify performance bottlenecks across GPU compute, memory, networking, and storage.
+ Support the development and integratio...
As part of ACOT, you will collaborate with architecture, research, CUDA, compiler, and framework teams to help bring next-generation AI workloads from research to production with strong performance and reliability.
What you will be doing
+ Assist in optimizing AI models such as LLMs, VLMs, diffusion models, and multimodal models for inference and training on NVIDIA GPUs.
+ Profile workloads and help identify performance bottlenecks across GPU compute, memory, networking, and storage.
+ Support the development and integratio...
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