N
Not Specified Permanent

Santa Clara, California · USA job

Technical Marketing Engineer, World Models - AV Physical AI

Nvidia

Santa Clara, California

Job description

Overview

In this role you will bridge cutting-edge world models with enterprise adoption in autonomous vehicles. You will create compelling technical content and lead demonstrations that translate complex AI concepts into practical outcomes. You'll collaborate across research, software, and product teams to move ideas toward deployment, while engaging customers and partners at global events. This position offers a chance to shape industry-first AI solutions at scale within a world-class AI ecosystem.

Compensation / Benefits
  • equity
  • comprehensive benefits package
  • competitive pay
Responsibilities
  • Design and post-train foundation models (LLMs, VLMs, VLAs, DiTs) for real-world AV applications
  • Develop and deliver benchmark-driven technical marketing materials to drive adoption
  • Create core content (whitepapers, guides, blogs, videos, demos, briefs) for sales and marketing
  • Collaborate with research, software, and product teams to bring world models to deployment
  • Serve as domain expert on World Models for autonomous vehicles; address feedback and technical inquiries
  • Demonstrate workflows and integration examples
  • Enable sales, partners, and developer relations with training and enablement materials
  • Prototype and iterate experiments across AI domains with customer/partner teams
  • Support thought leadership and speaking engagements
Key requirements
  • 8+ years in technical marketing, developer enablement, or related field with focus on foundation models in AV
  • Ability to translate complex AI concepts for technical and business audiences
  • Strong communication and cross-functional leadership in matrixed environments
  • Proficiency with Python and tools like Hugging Face, PyTorch, Docker for evaluation, inference, and artifact review
  • Experience developing technical content for corporate and developer communities
  • Experience running generative AV AI models (LLMs, diffusion models, VLMs/VLAs) and understanding inputs/outputs and performance bottlenecks
  • clear communication
  • collaborative leadership
  • audience-aware storytelling
  • Python
  • Hugging Face
  • PyTorch

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