Technical AI Instructor

Nvidia Corporation; Deutschland; Vor Ort; EUR 70.000 - 90.000; Vollzeit

Zusammenfassung

A leading AI and Visual Computing company is seeking a Training Specialist to conduct technical training sessions for customers and partners. You will develop training materials and collaborate with experts to enhance course content. Candidates should have 5+ years in data center technologies and strong skills in communication. Fluency in English and familiarity with various technologies are essential. This role may require traveling up to 75%.

Qualifikationen

• 5+ years of technical field experience in data center technologies.
• Training delivery experience is required.
• Strong communication skills in English.

Aufgaben

• Conduct face-to-face and remote training sessions for customers.
• Develop training materials based on NVIDIA technologies.
• Collaborate with SMEs to integrate features into courses.

Kenntnisse

Technical communication

Accelerated computing solutions

SLURM

Kubernetes

Docker

Git

Python

CUDA

RAPIDS

AWS

Azure

GCP

Ausbildung

Bachelor's degree in computer science, mathematics, or engineering

Jobbeschreibung

Overview

At NVIDIA, our employees are passionate about Artificial Intelligence, Visual Computing and Autonomous vehicles. We're united in our quest to transform the way GPUs are used for work and play. We need passionate, hard-working and creative people to help us seek some of these outstanding opportunities. At NVIDIA, we work, think and learn as a team. We thrive in a deeply strong environment, and we're passionate about a culture that demands innovation and the highest standards. The rewards are sweet and include collaborating with some of the smartest people in the industry, an aggressive compensation plan that rewards top performers, and the opportunity to work on products that transform the way people work and play.

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.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.