NVIDIA
Technical Marketing Engineer, World Models - AV Physical AI
$148K–$288K
US, CA, Santa Clara · Full-time · Posted Sep 22, 2026
- Experience
- 8+ years; technical marketing, developer enablement, or a related technical field.
- Education
- BS in Computer Science or Engineering-related field, or equivalent experience.
About the job
Develop and promote NVIDIA world models for autonomous vehicles through model prototyping, technical content, developer enablement, and customer engagement.
What you'll do
- Design and post-train foundation models, and prototype AI experiments for real-world applications, especially autonomous vehicles.
- Create and present technical materials, demonstrations, training, and enablement resources for developers, customers, partners, and sales teams.
- Collaborate across research, software, product, and partner teams to support world-model deployment and answer technical questions.
What they ask for
- BS in Computer Science or an engineering-related field, or equivalent experience, accompanied by comparable experience in a technical marketing role.
- 8+ years in technical marketing, developer enablement, or a related technical field focused on foundation models in AV use and evangelism.
- Experience with generative AV models (LLMs, diffusion models, VLMs, or VLAs) and their inputs, outputs, failure modes, and performance bottlenecks.
- Comfort with Python and tools such as Hugging Face, PyTorch, and Docker or similar for model evaluation, inference, and code-level artifact review.
Nice to have
- Experience developing and delivering workshops or certification programs at industry events.
- Knowledge of AI licensing, model/data provenance, and traceability systems; technical proficiency with NVIDIA technologies is also noted as a plus.
Pay
148,000 USD - 235,750 USD base salary (Level 4); 184,000 USD - 287,500 USD base salary (Level 5)
Tools
Python, Hugging Face, PyTorch, Docker, Omniverse, Cosmos, CUDA, TensorRT
AI focus
Design and post-train foundation models for autonomous vehicles; prototype agentic systems, reinforcement learning, reasoning, and video generation; evaluate and demonstrate AI model workflows and deployments.
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