Senior Technical Product Marketing Engineer

NVIDIA•Santa Clara, CA

2d•$148,000 - $287,500•Onsite

About The Position

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. NVIDIA has been redefining computer graphics, accelerated computing, and AI for more than 25 years - an outstanding legacy of innovation fueled by groundbreaking technology and phenomenal people. Today, we are tapping into the boundless potential of Physical AI to reshape the systems that run the real world. With NVIDIA Metropolis, we are bringing vision and agentic AI to smart factories, warehouses, cities, retail stores, traffic intersections, and public safety operations - turning infrastructure into something that can perceive, reason, and act. We are looking for an outstanding Senior Technical Marketing Engineer to join our Metropolis team in Santa Clara, CA. Metropolis ships on a steadfast quarterly cadence, with category-defining capabilities - agents, VLMs, video understanding pipelines, and AI Blueprints - reaching developers and customers in every release. You will join a small, autonomous team of creators that thrives on cracking new problem spaces and shipping the answer, compressing the cycle from emerging problem to working prototype in a week, and to a flagship demo in front of customers and on the GTC stage shortly after. If you bring deep technical mastery, an enthusiast’s instinct for the room, an AI-native build style, and the ambition to see your name on the product direction your work drives, we want to hear from you!

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.
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 - 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.
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.

Nice To Haves

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.

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.