Technical Marketing Engineer - World Models Physical AI
at Nvidia
USD 144,000-230,000 per year
SCRAPED
Used Tools & Technologies
Not specified
Required Skills & Competences ?
Marketing @ 3 Software Development @ 5 Docker @ 3 Python @ 3 Leadership @ 6 Technical Proficiency @ 5 Communication @ 6 PyTorch @ 3 CUDA @ 5 GPU @ 6Details
NVIDIA is seeking a technically skilled engineer to join the Physical AI Technical Marketing team focused on world models. The role drives adoption and understanding of NVIDIA’s advanced AI models through technical marketing initiatives, educational programs, and developer engagement at global events. You will build technical materials, enable sales and partners, engage developer communities, and act as a domain expert on world models.
Responsibilities
- Develop and deliver technical content and high-impact, performance benchmark–based technical marketing materials to drive enterprise and developer adoption of NVIDIA technologies.
- Create whitepapers, technical guides, blogs, videos, demos, and solution briefs directed at partners, customers, and internal sales and marketing teams.
- Collaborate cross-functionally with product, research, and engineering teams to understand features, roadmaps, and differentiators for large multimodal models, multi-task learning, video networks, generative models, imitation learning, and semi-supervised learning.
- Serve as a domain expert on world models: capture feedback, respond to technical queries, and demonstrate development and integration workflows and examples.
- Build training and enablement materials for developer relations teams, partners, and customers.
- Support industry-firsts, developer success stories, analyst briefings, and speaking engagements.
Requirements
- BS degree in Computer Science, Engineering, or a related field, or equivalent experience in a technical marketing role.
- 8+ years of experience in technical marketing, developer enablement, or 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 running generative AI models (LLMs, diffusion models, VLMs/VLAs) with working understanding of inputs, outputs, failure modes, and performance bottlenecks.
- Prior experience developing technical content for corporate and software developer communities.
Ways to Stand Out (Preferred)
- 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.
- Strong understanding of AI licensing, model/data provenance, and traceability systems.
- Technical proficiency with NVIDIA technologies such as Omniverse, Cosmos, CUDA, TensorRT, Triton Inference Server.
Compensation & Benefits
- Base salary range: 144,000 USD - 230,000 USD (determined based on location, experience, and comparable roles).
- Eligible for equity and benefits (link to NVIDIA benefits referenced in original posting).
Additional Information
- Applications accepted at least until October 19, 2025.
- NVIDIA is an equal opportunity employer committed to fostering a diverse work environment.