Senior AI MLOps Engineer, Education Services

NVIDIA’s Education Services team is dedicated to equipping partners with the expertise to support and fix the infrastructure software domain of NVIDIA AI Enterprise (NVAIE). This role focuses on empowering partners to master components such as Kubernetes, system virtualization, drivers, and management tools essential for deploying and maintaining accelerated AI systems. By designing and delivering hands-on training and support programs, you will help partners build the technical confidence needed to resolve infrastructure challenges independently. Your efforts will enable partners to ensure reliable, scalable, and efficient AI deployments, strengthening their ability to provide robust support across the NVAIE infrastructure ecosystem.

What you'll be doing:

• 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.

What we need to see:

• 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.

• 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.).

• Shown success in delivering high-quality, interactive workshops to technical audiences.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 192,000 USD - 304,750 USD.Applications for this job will be accepted at least until October 19, 2025.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.