Technical Marketing Engineer, World Models - AV Physical AI

NVIDIA•Santa Clara, CA

12d•$148,000 - $287,500•Onsite

About The Position

NVIDIA is seeking a hardworking and technically skilled engineer to join our Physical AI Technical Marketing team, focusing on building world class technical materials for world models within various industries. In this role, you will promote adoption and understanding of NVIDIA’s advanced AI models dedicated to Autonomous Vehicles. You will do this through technical marketing initiatives, educational programs, and developer engagement at global events.

Requirements

A BS Degree in Computer Science or Engineering related field or equivalent experience accompanied by comparable experience in a technical marketing role
8+ years of experience in technical marketing, developer enablement, or a related technical field with a focus on foundation models in AV use and evangelism.
Skilled at translating sophisticated AI concepts into clear, engaging messaging for both technical and business audiences.
Strong communication and collaborator leadership skills in matrixed, multi-functional environments.
Comfortable with Python and tools like Hugging Face, PyTorch, Docker, or similar for model evaluation, inference, and code-level artifact review (config files, training checkpoints).
Develop and improve technical content for corporate and software developer communities previously.
Experience running generative AV AI models - LLMs, diffusion models, or VLMs / VLAs - along with a working understanding of their inputs, outputs, failure modes, and performance bottlenecks.

Nice To Haves

Hands-on experience developing and delivering workshops or certification programs at industry events.
Proficiency in software development standard methodologies, such as integrating AI agents into workflows.
Deep understanding of foundation models and GPU-accelerated deployments.
Strong understanding of AI licensing, model/data provenance, and traceability systems is a plus.
Technical proficiency with NVIDIA technologies (Omniverse, Cosmos, CUDA, TensorRT, Triton Inference Server, etc.).

Responsibilities

Design and post-train foundation models (LLMs, VLMs, VLAs and DiTs) for real world applications across industries with a bias towards AV.
Develop and Deliver Technical Content: Create and present high-impact, performance benchmark based technical marketing materials to drive enterprise and developer audiences towards adoption of NVIDIA platforms.
Core Content Development: Build whitepapers, technical guides and blogs, videos, demos and solution briefs driving through NVIDIA sales and marketing teams to our AV partners and customers.
Work with teams in research, software, and products to bring world models from idea to deployment.
Serve as a domain expert in the area of World Models for autonomous vehicles. Capture feedback and respond to technical queries. Demonstrate development and integration workflows and examples.
Enable Sales & Partners: Use training and enablement materials for developer relations teams, partners, and customers.
Prototype and iterate rapidly on experiments across powerful AI domains, including agentic systems, reinforcement learning, reasoning, and video generation in partnership with customer / partner teams.
Advance Thought Leadership: Support industry-firsts, developer success stories, analyst briefings, and speaking engagements.