What youll be doing:
Deliver in-person and remote technical training on our 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 our 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 us in front of partner and customer audiences, answering inquiries, facilitating discussions, and guiding learners through fix and what-if scenarios.
What we need to see:
Bachelors 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.
Ways to stand out from the crowd:
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.
