Senior Technical Product Marketing Engineer

About the role

NVIDIA is seeking a Senior Technical Marketing Engineer to join the Metropolis team in Santa Clara, CA. The ideal candidate will be part of a small, autonomous team that creates demos, agents, and reference applications for NVIDIA Metropolis launches, GTC keynotes, and customer engagements. Responsibilities include developing training toolkits, demo scripts, reference architectures, technical blogs, and whitepapers; representing NVIDIA at industry conferences; and collaborating with product management and engineering teams.

Responsibilities

• Invent and ship the demos, agents, and reference applications that headline NVIDIA Metropolis launches, GTC keynotes, and flagship customer engagements - agentic Vision AI, multi-agent workflows, video understanding, VLM pipelines, and model fine-tuning.
• Move from whiteboard sketch to customer concepts and prototype in days, using agentic IDEs and AI-native coding tools as your default development environment.
• Engage directly with customers, partner developers, and the global developer ecosystem - understanding their workflows, pressure points, and roadmaps, and translating that signal into the next reference design.
• Develop training toolkits, demo scripts, reference architectures, technical blogs, and whitepapers that empower the global sales force, partner engineers, and the broader developer community.
• Represent NVIDIA at GTC, industry conferences, webinars, and partner events, and author the bylined posts that accompany the demos you ship.
• Partner with product management and product marketing on go-to-market and developer-engagement strategy for powerful Metropolis capabilities.
• Collaborate closely with the architecture, research, libraries, tools, product management, and system software engineering teams at NVIDIA to influence next-generation Metropolis platforms.
• Drive product capabilities and roadmap shifts into Metropolis, with your contributions named and visible across Product, Research, and Engineering - credited product influence is a core deliverable of this role, not a side effect.
• Travel is required for on-site customer visits, conferences, and developer events (30%).

Requirements

• Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field (or equivalent experience) with 8+ years of relevant experience.
• Strong applied AI background spanning VLMs, agentic frameworks, model training and fine-tuning, and modern agent orchestration (e.g., NVIDIA Agent Toolkit, LangGraph, MCP).
• Fluency with agentic IDEs and AI-assisted coding workflows, which you treat as the primary engine for shipping high-fidelity prototypes and production-grade code at speed - anchored by strong coding fundamentals that let you drop below the abstractions when the work demands it.
• Outstanding communication and customer-empathy skills - you genuinely enjoy being in front of developers, customers, and conference audiences, and you bring fresh ideas and a point of view to every conversation.
• A bias toward building: when you don’t know how something works, your first move is to prototype a small version of it. Public demos, GitHub repos, or shipped projects speak louder than slides.
• Comfort with the unknown and a high-agency operating mode: given a one-sentence problem statement, you return with a working artifact and a crisp argument for what to build next.
• Bridges between the business and engineering teams, bringing original ideas to the team - a brainstorm partner who arrives with a take, not a status update.
• A track record of turning customer signal into pioneering product outcomes - features, models, or roadmap shifts that exist because you advocated for them.

Qualifications

• Hands-on experience across NVIDIA’s Physical AI and agentic stack - Metropolis, Nemotron, NVIDIA Agent Toolkit, NIM, AI Blueprints, Cosmos, DeepStream, Isaac, and Omniverse.
• Shipped agentic Vision AI applications in production - multi-agent orchestration, tool use, agent skills, and evals.
• Foundation model post-training experience (SFT, RLHF, distillation) for vision and multi-modal models.
• A public footprint - repos, demos, or talks - that reflects an AI-tool-native development style.
• A demonstrable record of customer focused product influence - features, models, or roadmap shifts traceable to your work.

Benefits

NVIDIA offers highly competitive salaries and a comprehensive benefits package, including equity and benefits. Applications for this job will be accepted at least until May 31, 2026. 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.