Technical Marketing Engineer, World Models - AV Physical AI
NVIDIA is hiring a Technical Marketing Engineer, World Models - AV Physical AI in Santa Clara, United States. It pays $148k-$236k a year and Level rates it ; you can apply on NVIDIA.
Level's read on this job
- Works on AI ●●●○ is how Level rates this marketing role: the daily work is on AI products, without building the model.
- Pay on this posting starts in line with the typical marketing posting on Level.
- The posting mentions Hugging Face, PyTorch and AI agents among its tools and skills.
- Level classes it as a senior role.
- NVIDIA has 1,800+ other open roles on Level.
AI in this role
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
We are 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.
What you'll be doing:
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.
What we need to see:
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.
Ways to Stand Out From The Crowd:
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.).
Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are:148,000 USD – 235,750 USD for Level 4; and 184,000 USD – 287,500 USD for Level 5.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until November 3, 2026.This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive 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.How we rate this
Technical Marketing Engineer, World Models - AV Physical AI at NVIDIA rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in marketing jobs at this level
Pay
- This job starts at
- $148k
- Typical marketing job
- $148k
This posting starts close to the typical marketing job. See marketing jobs
Questions you could be asked
- How do you decide when an AI agent can act on its own versus asking for approval first?
- How do you decide that one model's output is better than another's for a given task?
- What are the limits of Hugging Face that you've run into, and how did you work around them?
- What's a project where you used PyTorch hands-on?
- Describe a typical day in a role like this one: which parts run through AI directly?
Adapt your resume
- List these exact terms on your resume: AI agents, AI Evaluation, Hugging Face, and PyTorch. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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