This role pays less than
62%
of similar roles. Most pay
$174,937–$257,037
— the shaded band above.
At the midpoint, this role pays about
$192k
versus about
$216k
for comparable roles.
Based on 240 similar postings.
Employer
About Nvidia
Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing
Nvidia currently has
879 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 859 roles with salary data.
Technical Marketing Engineer, World Models - AV Physical AI joins the Physical AI Technical Marketing team to drive adoption of advanced AI models for autonomous vehicles. This role involves designing and post-training foundation models including LLMs, VLMs, VLAs, and DiTs while creating high-impact technical content such as whitepapers, blogs, videos, and demos. The engineer will serve as a domain expert in world models, prototyping experiments in agentic systems, reinforcement learning, reasoning, and video generation. Key responsibilities include developing training materials for developer relations and presenting at global events to translate complex AI concepts into clear messaging. Required skills include proficiency in Python, Hugging Face, PyTorch, Docker, and experience with CUDA, TensorRT, and Triton Inference Server. The role focuses on the technical challenges of deploying world models within the autonomous vehicle industry.
Design and post-train foundation models like LLMs, VLMs, and DiTs for real-world applications in the autonomous vehicle sector.
Create high-impact technical marketing materials, including whitepapers, guides, blogs, and videos to drive platform adoption.
Serve as a domain expert on world models to address technical queries and provide feedback from partners.
Demonstrate development and integration workflows through live demos and technical content for developer audiences.
Prototype and iterate on experiments involving agentic systems, reinforcement learning, and video generation with partner teams.
Develop training and enablement materials to support developer relations teams, partners, and customers.
Support industry-first initiatives, analyst briefings, and speaking engagements to advance NVIDIA's thought leadership.
What we're looking for
A BS degree in Computer Science, an Engineering related field, or equivalent experience.
8+ years of experience in technical marketing, developer enablement, or a related technical field focusing on foundation models in AV use and evangelism.
Ability to translate sophisticated AI concepts into clear messaging for both technical and business audiences.
Strong communication and collaborator leadership skills in matrixed, multi-functional environments.
Proficiency with Python and tools like Hugging Face, PyTorch, Docker, or similar for model evaluation and inference.
Experience developing and improving technical content for corporate and software developer communities.
Experience running generative AV AI models including LLMs, diffusion models, or VLMs/VLAs with an understanding of their performance bottlenecks.
Technical proficiency with NVIDIA technologies like Omniverse, Cosmos, CUDA, TensorRT, or Triton Inference Server (preferred); experience with workshops or certification programs (preferred).