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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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