Job Description

NVIDIA’s Education Services team is focused on empowering partners to master infrastructure software for NVIDIA AI Enterprise by delivering hands-on training and support programs, enabling partners to tackle infrastructure challenges independently and ensure efficient AI deployments.

Requirements

Bachelor’s degree in computer science, engineering, or related domain, or equivalent experience.
12+ years of professional experience, with a minimum of 2 years dedicated to AI software or MLOps environments.
Technical proficiency in Linux, containerization (Kubernetes, Docker), orchestration tools, and cloud environments.
Hands-on experience with AI Tools, GPU Operator, ML frameworks (CUDA, RAPIDS, PyTorch, TensorFlow), and NVIDIA software stack.
Proven ability to communicate complex concepts to diverse audiences.
Strong English written and verbal communication skills.

Responsibilities

Develop and deliver interactive training sessions on NVIDIA’s AI and MLOps platforms, focusing on software, support, and operational guidelines.
Create innovative training materials—including lab exercises, presentations and content aligned with evolving NVIDIA software and support offerings.
Collaborate with product and domain authorities to shape new support modules and joint training plans for enterprise customers and authorized learning partners (ALPs).
Support real-time solving, learner engagement, and technical guidance during workshops.
Work closely with lab manager and course developers to optimize training environments for software-specific labs.