Technical Marketing Engineer, World Models - AV Physical AI

About the role

NVIDIA is seeking a hardworking and technically skilled engineer to join our Physical AI Technical Marketing team. The ideal candidate will focus on building world-class technical materials for world models within various industries, with a particular emphasis on Autonomous Vehicles.

Responsibilities

• Design and post-train foundation models (LLMs, VLMs, VLAs and DiTs) for real-world applications across industries, with a bias towards AV.
• Create and deliver high-impact, performance benchmark-based technical marketing materials to drive enterprise and developer audiences towards adoption of NVIDIA platforms.
• Build whitepapers, technical guides, 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, capturing feedback and responding to technical queries. Demonstrate development and integration workflows and examples.
• Enable sales and partners by using 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 by supporting industry-firsts, developer success stories, analyst briefings, and speaking engagements.

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).
• 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.

Qualifications

• Strong understanding of foundation models and GPU-accelerated deployments.
• Deep understanding of AI licensing, model/data provenance, and traceability systems.
• Technical proficiency with NVIDIA technologies (Omniverse, Cosmos, CUDA, TensorRT, Triton Inference Server, etc.).

Skills

• 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.

Benefits

As a highly competitive employer, NVIDIA offers highly competitive salaries and a comprehensive benefits package. Applications for this job will be accepted at least until February 3, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.