Senior Technical Instructor providing advanced training on NVIDIA’s AI and HPC platforms globally. Collaborating with internal teams to develop training content and deliver technical workshops.
Responsibilities
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.
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.
Requirements
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.
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