NVIDIA’s Education Services team is looking to equip partners with the expertise to support and fix the infrastructure software domain of NVIDIA AI Enterprise (NVAIE), enabling reliable, scalable, and efficient AI deployments.
Requirements
- 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.
- 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.).
Responsibilities
- Develop and deliver interactive training sessions on NVIDIA’s AI and MLOps platforms, focusing on software, support, and operational guidelines.
- Create innovative training materials—including lab exercises, presentations and content aligned with evolving NVIDIA software and support offerings.
- Collaborate with product and domain authorities to shape new support modules and joint training plans for enterprise customers and authorized learning partners (ALPs).
- Support real-time solving, learner engagement, and technical guidance during workshops.
- Work closely with lab manager and course developers to optimize training environments for software-specific labs.
Other
- Bachelor’s degree in computer science, engineering, or related domain, or equivalent experience.
- 12+ years of professional experience, with a minimum of 2 years dedicated to AI software or MLOps environments.
- Proven ability to communicate complex concepts to diverse audiences.
- Strong English written and verbal communication skills.
- Shown success in delivering high-quality, interactive workshops to technical audiences.
