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Senior Technical Training Developer - AI and Data Center Platform

NVIDIA

Santa Clara, CAOn Site

Original Job Summary

About the Role

The Senior Technical Training Developer - AI and Data Center Platform at NVIDIA will lead the creation and delivery of technical content focused on NVIDIA’s AI and HPC data center solutions. You will collaborate with domain experts, develop hands-on lab exercises, and conduct both in-person and remote training sessions.

What You’ll Be Doing

  • Develop training materials for NVIDIA’s AI and HPC data centers.
  • Collaborate with internal and external experts for content drafting.
  • Create engaging, lab-based training with diagrams, videos, and exercises.
  • Conduct in-person and remote training sessions, with travel up to 25%.
  • Participate in test deliveries and seek feedback for continuous improvement.

What We Need To See

  • Bachelor’s degree or equivalent in computer science or engineering.
  • Minimum 8 years in data center technologies and related technical fields.
  • Expertise in Linux, container deployment, cloud environments and enterprise tools such as Kubernetes, Docker, Slurm, Git, Python.
  • Strong communication, technical writing, and training delivery skills.
  • Ability to collaborate across different organizational levels.

Ways To Stand Out

  • Experience with NVIDIA AI and compute technologies like DGX and InfiniBand.
  • Advanced certifications (e.g., CCIE, Red Hat, AWS/Azure Solutions Architect).
  • Proven track record in developing technical training content and hands-on exercises.
  • Master’s degree or equivalent in related fields.

Key Skills/Competency

AI, HPC, Data Center, Linux, Kubernetes, Docker, Python, Technical Writing, Training Development, Cloud

How to Get Hired at NVIDIA

🎯 Tips for Getting Hired

  • Customize your resume: Showcase technical training and AI experience.
  • Highlight key certifications: Emphasize Linux, container, and cloud skills.
  • Research NVIDIA culture: Study their innovations and team values.
  • Prepare technical examples: Demonstrate past training project outcomes.

📝 Interview Preparation Advice

Technical Preparation

Review Linux server administration fundamentals.
Practice container orchestration with Kubernetes and Docker.
Experiment with cloud service providers (AWS, Azure, GCP).
Study AI workload deployment and networking protocols.

Behavioral Questions

Describe a challenging training scenario handled.
Explain teamwork in production training sessions.
Discuss approach to receiving and using feedback.
Illustrate collaboration in a matrixed organization.