Senior AI MLOps Engineer, Education Services

at Nvidia
📍 Santa Clara, United States
USD 192,000-304,800 per year
SENIOR
✅ On-site

SCRAPED

Used Tools & Technologies

Not specified

Required Skills & Competences ?

Docker @ 6 Kubernetes @ 4 Linux @ 6 MLOps @ 4 TensorFlow @ 4 Technical Proficiency @ 6 Communication @ 7 PyTorch @ 4 CUDA @ 4 GPU @ 4

Details

NVIDIA’s Education Services team equips partners 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 and ensure reliable, scalable, and efficient AI deployments across the NVAIE infrastructure ecosystem.

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 problem solving, learner engagement, and provide technical guidance during workshops.
  • Work closely with lab managers and course developers to optimize training environments for software-specific labs.

Requirements

  • 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, and cloud environments.
  • Hands-on experience with AI tools, GPU Operator, ML frameworks (CUDA, RAPIDS, PyTorch, TensorFlow), and the NVIDIA software stack.
  • Proven ability to communicate complex concepts to diverse audiences; strong English written and verbal communication skills.

Ways to Stand Out (Preferred)

  • 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.).
  • Demonstrated success delivering high-quality, interactive workshops to technical audiences.

Benefits and Additional Details

  • Base salary range: 192,000 USD - 304,750 USD (determined by location, experience, and pay of employees in similar positions).
  • Eligible for equity and benefits.
  • Applications accepted at least until October 19, 2025.
  • NVIDIA is an equal opportunity employer committed to diversity and non-discrimination.