Role overview
NVIDIA’s Education Services team is dedicated to equipping partners with the expertise to support and fix the infrastructure software domain of NVIDIA AI Enterprise (NVAIE). This role focuses on empowering partners to master components such as Kubernetes, system virtualization, drivers, and management tools essential for deploying and maintaining accelerated AI systems. By designing and delivering hands-on training and support programs, you will help partners build the technical confidence needed to resolve infrastructure challenges independently. Your efforts will enable partners to ensure reliable, scalable, and efficient AI deployments, strengthening their ability to provide robust support across the NVAIE infrastructure ecosystem.
What you'll work on
- 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.
What we're looking for
- 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, 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.
Tags & focus areas
Used for matching and alerts on DevFound Fulltime Ai Machine Learning Mlops Pytorch Tensorflow