Senior Technical Training Developer - AI and Da...
@ NVIDIA

Hybrid
$253,000
Hybrid
Full Time
Posted 22 days ago

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About the Role

The Senior Technical Training Developer - AI and Data Center Platform at NVIDIA will lead the creation and delivery of technical content focusing on NVIDIA’s AI solutions, HPC, and data center technologies. This position involves developing comprehensive training materials, collaborating with industry experts, and delivering immersive training sessions.

What You’ll Be Doing

  • Develop training materials on NVIDIA solutions for AI and HPC data centers.
  • Collaborate with internal and external experts to create training outlines.
  • Design engaging lab-based training with diagrams, videos, and hands-on exercises.
  • Conduct both in-person and remote training sessions with up to 25% travel.
  • Participate in test deliveries and gather feedback to refine course content.

What We Need To See

  • Bachelor’s degree or equivalent in computer science or engineering.
  • At least 8 years of professional experience in data center technologies.
  • Expertise in Linux server administration, containerized AI workloads, and networking protocols.
  • Strong skills in cloud environments and enterprise tools including Kubernetes, Docker, Slurm, Git, and Python.
  • Proficiency in technical writing and delivering training to diverse audiences.
  • Ability to work collaboratively in a matrixed organization.

Ways To Stand Out From The Crowd

  • Hands-on experience with NVIDIA AI and compute technologies (e.g., DGX systems, HPC platform, InfiniBand).
  • Advanced certifications (CCIE, CCNP, Red Hat, AWS, Azure) are highly valued.
  • Proven track record in technical training development and delivery.
  • Master’s degree or equivalent experience in a relevant field is a plus.

Key skills/competency

  • AI
  • Data Center
  • Technical Training
  • HPC
  • Linux
  • Cloud
  • Kubernetes
  • Docker
  • Technical Writing
  • Public Speaking
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How to Get Hired at NVIDIA

🎯 Tips for Getting Hired

  • Research NVIDIA's culture: Understand their mission and innovations.
  • Customize your resume: Highlight AI and data center expertise.
  • Showcase relevant certifications: Emphasize industry-standard credentials.
  • Prepare interview examples: Detail hands-on training development experiences.

📝 Interview Preparation Advice

Technical Preparation

Review AI and HPC technical concepts.
Practice Linux server setups and container deployment.
Familiarize with Kubernetes and Docker tools.
Update skills on networking protocols.

Behavioral Questions

Describe a challenging training project.
Explain your teamwork in complex settings.
Discuss handling feedback during course delivery.
Share experience adapting to new tech.

Frequently Asked Questions