Drimva

NVIDIA

Senior AI Technical Instructor

$200K–$322K

US, CA, Santa Clara · Senior · Full-time · Posted Oct 14, 2026

Experience
12+ years in relevant customer-facing technical positions; at least 5 years focused on infrastructure systems supporting AI.
Education
BS/MS or equivalent experience in computer science, mathematics, engineering, or a comparable depth of knowledge and background.

About the job

Delivers and develops technical training for NVIDIA partners on AI Enterprise solutions, AI data center technologies, and related sales motions.

What you'll do

  • Conduct weekly in-person partner training sessions and travel up to 25% as needed.
  • Develop training materials, lab-based sessions, interactive demos, instructor notes, and assessments.
  • Gather partner feedback and support workshop planning and delivery.

What they ask for

  • BS/MS or equivalent experience in computer science, mathematics, engineering, or comparable depth of knowledge and background.
  • 12+ years in technical sales, pre-sales, solutions architecture, or similar customer-facing technical positions, including at least 5 years with infrastructure systems supporting AI.
  • Proficiency in Machine Learning, Generative AI, and Agentic AI, and ability to communicate technical concepts to technical sales audiences.
  • Experience using AI tools, autonomous workflows, and frontier models to develop training content, interactive presentations, and practical labs.

Nice to have

  • Experience developing and delivering in-depth training for field sales and technical audiences, including channel partners.
  • Familiarity with the NVIDIA partner ecosystem, platforms, and software stack; hands-on experience with agentic workflows, coding agents, listed tools, and cloud providers.

Pay

200,000 USD - 322,000 USD (base salary)

Tools

CUDA, CUDA-X, NeMo, Kubernetes, Docker, Git, Python, TensorRT

AI focus

Train partner technical teams to position and use NVIDIA AI Enterprise solutions; develop AI-focused training materials, hands-on demos, and labs, using AI tools, autonomous workflows, and frontier models.

Model-written summary · the original posting is authoritative

First seen Oct 15, 2026 · Last verified Nov 4, 2026 (UTC)