NVIDIA is seeking a Senior Solutions Architect to help enterprises adopt its LLM, multimodal, and other AI models end-to-end. The role involves guiding customers through the full AI lifecycle, from data preparation and training to reinforcement learning and optimization. Requires significant hands-on experience with popular ML frameworks and transformer architectures.
Responsibilities
Help enterprises adopt NVIDIA LLM, multimodal, and other AI models end-to-end.
Guide customers through the AI lifecycle, from data and training to RL and optimization.
Requirements
5+ years of hands-on experience with PyTorch, JAX, TensorFlow, and Transformers.
NVIDIA is a pioneer in accelerated computing that invented the GPU, sparking the growth of modern AI and computer graphics. It is now a full-stack computing company providing data-center-scale offerings.