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.
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.Skills Required
- Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent experience
- 8+ years of experience in technical marketing, developer enablement, or a related technical field focused on foundation models for autonomous vehicles and evangelism
- Ability to translate sophisticated AI concepts into clear messaging for technical and business audiences
- Strong communication and collaborative leadership skills in matrixed, cross-functional environments
- Experience with Python and tools such as Hugging Face, PyTorch, and Docker for model evaluation, inference, and code-level artifact review
- Experience developing and improving technical content for corporate and software developer communities
- Experience running generative autonomous-vehicle AI models, including LLMs, diffusion models, VLMs, or VLAs
- Hands-on experience developing and delivering workshops or certification programs at industry events
- Proficiency in software development methodologies, including integrating AI agents into workflows
- Deep understanding of foundation models and GPU-accelerated deployments
- Understanding of AI licensing, model and data provenance, and traceability systems
- Technical proficiency with NVIDIA technologies such as Omniverse, Cosmos, CUDA, TensorRT, or Triton Inference Server
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
-
Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
-
Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
-
Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
.png)
