[Remote] Technical AI Instructor at NVIDIA

Candidates must possess a Bachelor's degree or equivalent experience in computer science, mathematics, engineering, or a related field. A minimum of 5 years of technical field experience, with at least 5 years in data center-related technologies supporting AI such as storage, networking, or accelerated computing, is required. Training delivery experience is also necessary. Proficiency in delivering technical training and presentations, crafting and implementing accelerated computing solutions, and strong English communication, interpersonal, and writing skills are essential. Familiarity with tools like SLURM, Kubernetes, Docker containers, Git, Python, CUDA, RAPIDS, and cloud service providers (AWS, Azure, GCP) is critical. The ability to work multi-functionally across different levels of a matrixed organization is also required. Experience in delivering and developing in-depth training for technical selling audiences, experience in optimizing workloads with GPU (like CUDA, CuDNN and TensorRT), and a Master's degree in a relevant field are preferred. Multilingual abilities, particularly German or French, are a plus.