Technical Marketing Engineer, World Models - AV Physical AI

Nvidia

Quick summary

Work type
On-site
Location
Santa Clara, CA
Salary
$148,000–$235,750 / yr
Posted
125 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $210k
This role $192k
$136k most similar roles pay here $261k

This role pays less than 64% of similar roles. Most pay $174,813–$246,150 — the shaded band above. At the midpoint, this role pays about $192k versus about $210k 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 855 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 843 roles with salary data.

Most-posted roles

View all roles at Nvidia

At a glance

TL;DR · Technical Marketing Engineer, World Models - AV Physical AI

Join our Physical AI Technical Marketing team as an experienced engineer focused on promoting the adoption of NVIDIA’s advanced AI models in Autonomous Vehicles (AV). You will design and post-train foundation models like LLMs, VLMs, and DiTs for real-world applications, creating high-impact technical marketing materials to drive enterprise and developer audiences towards adopting NVIDIA platforms. Responsibilities include developing whitepapers, technical guides, videos, demos, and solution briefs, collaborating with research, software, and product teams to bring world models from concept to deployment. You will also serve as a domain expert in World Models for AV, enabling sales and partners through training materials and engaging in thought leadership activities such as speaking engagements. Ideal candidates have 8+ years of experience in technical marketing or developer enablement with expertise in Python, Hugging Face, PyTorch, Docker, and NVIDIA technologies like Omniverse and TensorRT.

What you'll do

  • Design and post-train foundation models for real-world applications in autonomous vehicles.
  • Develop high-impact technical marketing materials to drive adoption of NVIDIA platforms among enterprise and developer audiences.
  • Build comprehensive whitepapers, guides, blogs, videos, demos, and solution briefs for sales and marketing teams.
  • Serve as a domain expert in world models for AV, capturing feedback and addressing technical queries from partners and customers.
  • Prototype and iterate on AI experiments across domains like agentic systems, reinforcement learning, reasoning, and video generation.
  • Advance thought leadership by supporting industry-first initiatives, developer success stories, analyst briefings, and speaking engagements.

What we're looking for

  • At least 8 years of experience in technical marketing or developer enablement focusing on foundation models in AV use and evangelism.
  • BS Degree in Computer Science or Engineering related field with comparable experience in a technical marketing role.
  • Proficiency in translating complex AI concepts into clear, engaging messaging for both technical and business audiences.
  • Hands-on experience developing and delivering workshops or certification programs at industry events.
  • Strong communication skills and leadership in matrixed, multi-functional environments.
  • Comfortable with Python and tools like Hugging Face, PyTorch, Docker for model evaluation and inference.
  • Experience running generative AV AI models (LLMs, diffusion models) and understanding their performance bottlenecks.

More like this

Similar roles

AI Marketing Technologist Lead

Plaid

New York City, NY 6 days ago $170,400$223,200
AI LLMs Prompt Engineering AI Automation Platforms Marketing Automation Platforms SQL Tableau BI Tools CI/CD Salesforce Integrations Kubernetes Docker Python PostgreSQL

AI Marketing Technologist Lead

Plaid

San Francisco 6 days ago $170,400$223,200
AI LLMs Prompt Engineering AI Automation Platforms Marketing Automation Platforms SQL Tableau BI Tools Kubernetes CI/CD Salesforce Integrations Python PostgreSQL AWS Docker