Senior Technical Instructor - AI Infrastructure

We are looking for an outstanding Senior Technical instructor to join NVIDIA’s Education Services team. In this role, you will provide advanced training on NVIDIA’s data center, AI, and HPC platforms to customers and partners around the world. You will also contribute to developing training content, including presentation decks, hands-on manuals, and supporting materials. You will help engineers, architects, and operations teams build the skills needed to design, deploy, and operate NVIDIA-powered AI data centers with confidence. As part of this, you will take part in the design of hands-on workshops and lab environments that simulate real NVIDIA systems and data center components, enabling learners to practice on realistic end-to-end scenarios.

What You’ll Be Doing

• Deliver in-person and remote technical training on NVIDIA data center, AI, and HPC platforms for customers and partners, with up to 25% travel as needed.
• Lead lab-based training sessions that walk learners through end-to-end workflows on NVIDIA GPUs, DGX/GB200 systems, high-speed networking, and AI/HPC software stacks.
• Collaborate with internal experts and content developers to build agendas, exercises, and demos that reflect real customer use cases and guidelines.
• Serve as a subject-matter guide (SME) for a dedicated production team and learning developers. They build primary content. Partner with them on slideware, lab guides, videos, simulations, visual demos, and exercises. Ensure technical accuracy and realism.
• Act as a technical ambassador for NVIDIA in front of partner and customer audiences, answering inquiries, facilitating discussions, and guiding learners through fix and “what-if” scenarios.
  
  

• Bachelor’s degree or equivalent experience in computer science, engineering, or a related field.
• 8+ years of experience in data center or cloud infrastructure, including Linux server administration and deployment of AI / HPC workloads.
• Hands-on experience with core infrastructure technologies such as Kubernetes, Docker, monitoring and observability tools (e.g., Grafana), virtualization platforms, and at least one major cloud provider (AWS, Azure, or GCP).
• Solid understanding of networking and storage concepts relevant to modern AI/HPC data centers.
• Demonstrated experience delivering technical training or workshops, with excellent presentation, facilitation, and English communication skills.
• Ability to work effectively in a matrixed organization and collaborate with product, engineering, and enablement teams.
  
  

• Direct hands-on experience with NVIDIA technologies such as DGX systems, GB200 / SuperPOD, InfiniBand networking, NVIDIA AI Enterprise, or related AI/HPC platforms.
• Prior experience building or delivering hands-on labs that simulate data center environments, including GPUs, networking, storage, and management tools.
• Relevant certifications (e.g., CKA/CKAD, cloud architect certifications, Red Hat, or advanced networking certifications).
• Proven track record as a technical instructor for enterprise customers or partners, especially in AI, HPC, or large-scale infrastructure domains.