Senior Technical Product Marketing Engineer

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing, where our GPU acts as the brains of computers, robots, and self-driving cars. The Metropolis team brings vision and agentic AI to smart factories, warehouses, cities, retail stores, traffic intersections, and public safety operations. We are looking for an outstanding Senior Technical Marketing Engineer to join our Metropolis team in Santa Clara, CA. 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. Travel is required for on‑site customer visits, conferences, and developer events (30%). Qualifications 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, anchored by strong coding fundamentals that let you drop below the abstractions when the work demands it. 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. Outstanding communication and customer‑empathy skills; enjoy being in front of developers, customers, and conference audiences, and bring fresh ideas and a point of view to every conversation. 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. Brings 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. Ways to Stand Out from the Crowd 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. 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. NVIDIA is committed to fostering an inclusive work environment and prides itself as an equal opportunity employer. We do not discriminate 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. #J-18808-Ljbffr NVIDIA Corporation