NVIDIA

NVIDIA

Posted via Workday

Technical Marketing Engineer, World Models - AV Physical AI

Posted Aug 5, 2026

Role at a glance

Salary
$148K – $287.5K/yr
Location
Santa Clara, California, United States
Work arrangement
On-site
Employment
Full-time
Experience
8+ years of experience in technical marketing, developer enablement, or a related technical field with a focus on foundation models in...
Education
A BS Degree in Computer Science or Engineering related field or equivalent experience

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Role Summary

AI-generated

NVIDIA’s Physical AI Technical Marketing team is seeking an engineer to build technical materials and promote adoption of world models and advanced AI models for autonomous vehicles. The role works with research, software, product, sales, partner, and customer teams to support model development, deployment, education, and developer engagement.

What You'll Do

  • Design and post-train foundation models for real-world applications, with a focus on autonomous vehicles.
  • Create and present performance benchmark-based technical marketing materials for enterprise and developer audiences.
  • Build whitepapers, technical guides, blogs, videos, demos, and solution briefs.
  • Work with research, software, and product teams to bring world models from idea to deployment.
  • Demonstrate development and integration workflows, capture feedback, and respond to technical queries.
  • Prototype and iterate on experiments involving agentic systems, reinforcement learning, reasoning, and video generation.

Generated from the employer's posting. Verify important details before applying.

View full posting

Qualifications

Bachelor of Science degree in Computer Science or an Engineering-related field or equivalent experience; 8+ years in technical marketing, developer enablement, or a related technical field focused on foundation models in autonomous vehicle use and evangelism; Python and tools such as Hugging Face, PyTorch, and Docker; experience with generative AV AI models including LLMs, diffusion models, VLMs, or VLAs; ability to translate sophisticated AI concepts for technical and business audiences; strong communication and collaboration skills.

Required

  • Python
  • Hugging Face
  • PyTorch
  • Docker
  • Foundation models
  • Generative AV AI models
  • LLMs
  • Diffusion models

Preferred

  • Hands-on experience developing and delivering workshops or certification programs at industry events
  • Software development standard methodologies
  • Deep understanding of foundation models and GPU-accelerated deployments
  • AI licensing, model/data provenance, and traceability systems
  • Omniverse
  • Cosmos
  • CUDA
  • TensorRT

Original job description

Content provided by the employer

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 the pay of employees in similar positions. The base salary range is 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 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.

NVIDIA

About the company

NVIDIA

Large Enterprise

NVIDIA is a leading technology company renowned for its graphics processing units (GPUs) and innovative computing solutions that enhance visual experiences across multiple platforms, including gaming, scientific research, and artificial intelligence. Founded in 1993, the company has expanded its offerings to include powerful AI frameworks and deep learning platforms, making significant contributions to industries such as gaming, data centers, automotive, and healthcare. NVIDIA's commitment to pushing the boundaries of visual computing continues to drive advancements in both hardware and software, positioning the company at the forefront of emerging technologies and digital transformation.