Technical Product Marketing Engineer, Metropolis - New College Grad 2026

Details

NVIDIA is seeking a Technical Marketing Engineer to join the Metropolis team in Santa Clara, California. The team develops agentic Vision AI, video understanding pipelines, vision-language models (VLMs), AI Blueprints, and related Physical AI capabilities for smart factories, warehouses, cities, retail stores, traffic intersections, and public safety operations.

Responsibilities

• Invent and ship demos, agents, and reference applications for NVIDIA Metropolis launches, GTC keynotes, and flagship customer engagements.
• Build agentic Vision AI applications, multi-agent workflows, video understanding and VLM pipelines, and model fine-tuning solutions.
• Move from whiteboard concepts to customer prototypes within days using agentic integrated development environments and AI-native coding tools.
• Engage with customers, partner developers, and the global developer ecosystem to understand workflows, challenges, and roadmaps and translate that feedback into reference designs.
• Develop training toolkits, demo scripts, reference architectures, technical blogs, and whitepapers.
• Represent NVIDIA at GTC, industry conferences, webinars, and partner events, and author technical posts accompanying shipped demos.
• Partner with product management and product marketing on go-to-market and developer-engagement strategies for Metropolis capabilities.
• Collaborate with architecture, research, libraries, tools, product management, and system software engineering teams to influence future Metropolis platforms.
• Drive product capabilities and roadmap changes based on contributions and customer feedback.
• Travel approximately 30% for on-site customer visits, conferences, and developer events.

Requirements

• Bachelor's or master's degree in Computer Science, Electrical Engineering, or a related field, or equivalent experience, with relevant internships.
• Strong applied AI experience spanning VLMs, agentic frameworks, model training and fine-tuning, and modern agent orchestration, such as NVIDIA Agent Toolkit, LangGraph, and MCP.
• Fluency with agentic IDEs and AI-assisted coding workflows, supported by strong coding fundamentals.
• A demonstrated bias toward building through prototypes, public demos, GitHub repositories, or shipped projects.
• Outstanding communication and customer-empathy skills, including comfort presenting to developers, customers, and conference audiences.
• Comfort working with ambiguity and independently producing working artifacts from concise problem statements.
• Ability to contribute original ideas and collaborate as a brainstorming partner.
• A track record of turning customer feedback into product outcomes, including features, models, or roadmap changes.

Preferred Qualifications

• Hands-on experience with NVIDIA's Physical AI and agentic stack, including Metropolis, Nemotron, NVIDIA Agent Toolkit, NIM, AI Blueprints, Cosmos, DeepStream, Isaac, and Omniverse.
• Experience shipping agentic Vision AI applications in production, including multi-agent orchestration, tool use, agent skills, and evaluations.
• Foundation model post-training experience with supervised fine-tuning (SFT), reinforcement learning from human feedback (RLHF), or distillation for vision and multimodal models.
• A public footprint of repositories, demos, or talks demonstrating an AI-tool-native development style.
• Demonstrated customer-focused product influence.

Compensation And Benefits

The base salary range is USD 92,000–155,250 for Level 1 and USD 116,000–184,000 for Level 2, depending on location, experience, and compensation for similar positions. The role is also eligible for equity and benefits. Applications will be accepted at least until August 10, 2026.