Senior Technical Training Developer - AI and Data Center Platform

at Nvidia
📍 World
📍 Canada
📍 United States
USD 160,000-304,800 per year
SENIOR
✅ Remote ✅ Hybrid ✅ On-site

SCRAPED

Used Tools & Technologies

Not specified

Required Skills & Competences ?

Docker @ 7 Kubernetes @ 7 Linux @ 7 Python @ 7 GCP @ 4 Data Science @ 4 AWS @ 4 Azure @ 4 Communication @ 7 Git @ 7 Networking @ 7

Details

We are looking for an outstanding technical training developer and instructor to join NVIDIA Education Services. In this role you will lead the creation and delivery of technical content on NVIDIA’s AI solutions across a wide range of configurations and workloads. You will craft innovative training programs for AI and HPC data center technologies and deliver them to customers and partners both remotely and in person.

Responsibilities

  • Develop training materials focused on NVIDIA’s solutions and their role in AI and HPC data centers.
  • Collaborate with internal and external domain experts to draft training outlines aligned with market trends and customers' requirements.
  • Build engaging lab-based training, incorporating diagrams, explanatory videos, and interactive hands-on exercises.
  • Conduct in-person and remote training sessions for NVIDIA’s customers and partners; willingness to travel up to 25% as the need arises.
  • Participate in internal test deliveries to ensure a high-quality learning experience and actively seek feedback from students and industry partners to improve course content.

Requirements

  • Bachelor’s degree or equivalent experience in computer science or engineering, with relevant proven experience.
  • At least 8 years of professional experience in data center technologies, including Linux server administration, containerized AI workloads deployment, and networking protocols configuration.
  • Strong technical expertise in cloud environments and enterprise tools including Kubernetes, Docker, Slurm, Git, and Python.
  • Experience with major cloud service providers (AWS, Azure, GCP).
  • Strong communication, interpersonal, and technical writing skills in English (writing sample required).
  • Proficiency in delivering training and presentations, with the ability to effectively communicate technical concepts to diverse audiences.
  • Ability to collaborate effectively across different levels in a matrixed organization.

Ways to stand out / Preferred

  • Hands-on experience with NVIDIA AI and compute technologies, such as DGX systems and HPC platforms.
  • Experience with InfiniBand networking and NVIDIA software platforms including NVIDIA AI Enterprise and Run:ai.
  • Advanced certifications such as CCIE, CCNP, Red Hat certifications (RHCSA, RHCE, RHCA), or cloud architecture certifications (AWS Solutions Architect, Azure Solutions Architect).
  • Proven experience in technical training development and delivery, with demonstrated ability to create hands-on lab exercises, instructional materials, and present to technical audiences remotely and in-person.
  • Master’s degree or equivalent experience in computer science, data science, or engineering.

Compensation and benefits

  • Base salary range (determined by location, experience, and internal pay ranges):
    • Level 4: 160,000 USD - 253,000 USD
    • Level 5: 192,000 USD - 304,750 USD
  • Eligible for equity and benefits.

Additional information

  • Applications accepted at least until September 22, 2025.
  • NVIDIA is an equal opportunity employer committed to fostering a diverse work environment.
  • Required language: English.
  • Location: US, Canada, and Remote (see locations).