NVIDIA’s Education Services team is dedicated to equipping partners with the expertise to support and troubleshoot 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 be doing:
Develop and present engaging training sessions dedicated to NVIDIA’s artificial intelligence and machine learning operations, highlighting software, support, and operational protocols.
Create innovative training materials—including lab exercises, presentations and content aligned with evolving NVIDIA software and support offerings.
Collaborate with product and domain experts to shape new support modules and joint training plans for enterprise customers and authorized learning partners (ALPs).
Provide real-time fixing, learner engagement, and technical mentorship during workshops.
Work closely with lab manager and course developers to optimize training environments for software-specific labs.
What we need to see:
Bachelor’s degree in computer science, engineering, or related domain, or equivalent experience.
Minimum 6 years of professional experience, with at least 2 years focused on AI software or/and MLOps platforms.
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.
Ways to Stand Out from the crowd:
Direct experience developing training for AI software solutions.
Familiarity with NVIDIA AI Enterprise, Run:AI, BCM, and related MLOps tools.
Relevant technical certifications (Certified Kubernetes Administrator, RHCSA, NVIDIA Developer certifications, etc.).
Proven success in delivering high-quality, interactive workshops to technical audiences.
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What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
