Nvidia Technical AI Instructor 

Germany, North Rhine-Westphalia 

963737935

What you’ll be doing:

• Conduct face-to-face and remote training sessions for NVIDIA’s customers and partners, with a willingness to travel up to 75% is required.

• Support developing training materials based on NVIDIA's innovative AI and data centre technologies.

• Collaborate with internal and external subject matter experts (SMEs) to support drafting course proposals aligned with market trends and customers' requirements.

• Work and train internal and external team members to deliver specific sessions of workshops.

• Build engaging lab-based training, incorporating diagrams, explanatory videos, and interactive hands-on exercises for the EMEA Channel landscape.

• Collaborate with SMEs to integrate key features of NVIDIA solutions into project-based learning experiences.

• Support developing instructor delivery notes, certification criteria, and assessment materials.

• Support with interpersonal aspects of training and workshop delivery.

What we need to see:

• Proficiency in delivering training and presentations, with the ability to effectively communicate technical concepts to partner audiences.

• Demonstrated ability to craft and implement accelerated computing solutions. Familiarity with tools such as SLURM, Kubernetes, Docker containers, Git, Python, CUDA, RAPIDS, and cloud service providers (AWS, Azure, GCP) is critical.

• A bachelor's degree or equivalent experience in computer science, mathematics, engineering, or a related field.

• Minimum 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. Training delivery experience is required.

• Strong communication, interpersonal, and writing skills in English.

• Ability to work multi-functionally across different levels of a matrixed organization.

Ways to stand out from the crowd:

• Experience in delivering and developing in-depth training for technical selling audiences.

• Multi language preferred. English first language plus one additional. Preferable German or French.

• Proven experience in Field Engineering or Solutions Architect roles.

• Experience in optimizing workloads with GPU, like CUDA, CuDNN and TensorRT.

• A master's degree in computer science, mathematics, engineering, or equivalent experience.