NVIDIA · 3 days ago
Technical Marketing Engineer - World Models Physical AI
NVIDIA is a leader in computer graphics, AI, and fast computing, seeking a passionate and technically skilled engineer for their Physical AI Technical Marketing team. This role involves creating technical marketing materials, driving adoption of AI models, and engaging with developers and customers at global events.
AI InfrastructureArtificial Intelligence (AI)Consumer ElectronicsFoundational AIGPUHardwareSoftwareVirtual Reality
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 our 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
Qualification
Required
A BS Degree in Computer Science or Engineering related field with 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)
Develop and improve technical content for corporate and software developer communities previously
Experience running generative AI models - LLMs, diffusion models, or VLMs / VLAs - along with a working understanding of their inputs, outputs, failure modes, and performance bottlenecks
Preferred
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.)
Benefits
Equity
Benefits
Company
NVIDIA
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI.
H1B Sponsorship
NVIDIA has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1877)
2024 (1355)
2023 (976)
2022 (835)
2021 (601)
2020 (529)
Funding
Current Stage
Public CompanyTotal Funding
$4.09BKey Investors
ARPA-EARK Investment ManagementSoftBank Vision Fund
2023-05-09Grant· $5M
2022-08-09Post Ipo Equity· $65M
2021-02-18Post Ipo Equity
Recent News
Business Insider
2026-01-09
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2026-01-09
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