Nvidia Senior AI MLOps Engineer Education Services 

United States, Texas 

191404345

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.