Technical Marketing Engineer - World Models Physical AI

at Nvidia
📍 Santa Clara, United States
USD 144,000-230,000 per year
MIDDLE
✅ On-site

SCRAPED

Used Tools & Technologies

Not specified

Required Skills & Competences ?

Marketing @ 3 Software Development @ 5 Docker @ 3 Python @ 3 Leadership @ 3 Technical Proficiency @ 5 Communication @ 6 PyTorch @ 3 CUDA @ 5 GPU @ 6

Details

NVIDIA has spearheaded progress in computer graphics, AI, and fast computing for more than 25 years. Our legacy of innovation is powered by outstanding technology and extraordinary people. Welcoming a new chapter in computing, our GPUs support computers, robots, and autonomous vehicles in perceiving and interacting with the world in groundbreaking ways. Achieving what’s never been done before requires vision, resourcefulness, and the world’s top talent. At NVIDIA, you’ll thrive in a diverse, collaborative environment where you’re empowered to do your best work. Join us and help craft the future of AI.

We are seeking a passionate and technically skilled engineer to join our Physical AI Technical Marketing team, focusing on building world class technical materials for world models. In this role, you will drive adoption and understanding of NVIDIA’s advanced AI models through technical marketing initiatives, educational programs, and developer engagement at global events.

Responsibilities

  • 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.
  • Core content development: build whitepapers, technical guides and blogs, videos, demos and solution briefs driving through NVIDIA sales and marketing teams to partners and customers.
  • Cross-functional teamwork: collaborate with product, research, and engineering teams to deeply understand features, roadmaps, and differentiators, enabling the creation and delivery of advanced technical materials on large multimodal models, multi-task learning, video networks, generative models, imitation learning, and semi-supervised learning for technical sales teams.
  • Customer and community engagement: serve as a domain expert on World Models to capture feedback, respond to technical queries, and exhibit world models development and integration workflows and examples.
  • Enable sales & partners: build training and enablement materials for developer relations teams, partners, and customers.
  • Advance thought leadership: support industry-firsts, developer success stories, analyst briefings, and speaking engagements.

Requirements

  • A BS degree in Computer Science or an engineering related field or equivalent experience in a technical marketing role (or equivalent experience).
  • 8+ years of experience in technical marketing, developer enablement, or a related technical field with a focus on foundation models 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 developing and improving technical content for corporate and software developer communities.
  • Experience running generative AI models - LLMs, diffusion models, or VLMs / VLAs - with a working understanding of their inputs, outputs, failure modes, and performance bottlenecks.

Ways to Stand Out From The Crowd (Preferred / Nice-to-have)

  • 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.
  • Technical proficiency with NVIDIA technologies (Omniverse, Cosmos, CUDA, TensorRT, Triton Inference Server, etc.).

Benefits & Compensation

  • Base salary range: 144,000 USD - 230,000 USD (determined based on location, experience, and comparable roles).
  • Eligible for equity and benefits.

Additional Information

  • Applications for this job will be accepted at least until October 19, 2025.
  • NVIDIA is an equal opportunity employer and is committed to fostering a diverse work environment.