Technical Product Marketing Engineer, Metropolis - New College Grad 2026
$92,000–$155,250 year
On-siteSanta Clara, California, United States
Job Summary
Invent and ship demos, agents, and reference applications for NVIDIA Metropolis launches, GTC keynotes, and customer engagements, moving from whiteboard sketches to prototypes in days using agentic IDEs. Engage directly with customers, partners, and the developer ecosystem to translate their workflows into reference designs, while developing training toolkits, demo scripts, and technical blogs to empower the sales force. Represent NVIDIA at conferences and author bylined posts accompanying shipped demos, collaborating with product management and engineering teams to influence next-generation Metropolis platforms and drive roadmap shifts. This role requires a new college grad (2026) with a degree in CS or EE, strong applied AI experience, and 30% travel for on-site visits and events.
Required Qualifications
- Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field (or equivalent experience) with relevant internships
- Strong experience within applied AI 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
- Strong coding fundamentals
- Outstanding communication and customer-empathy skills
- Comfort with the unknown and a high-agency operating mode
- Brings original ideas to the team
- A track record of turning customer signal into pioneering product outcomes - features, models, or roadmap shifts that exist because you advocated for them
- 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
- Travel is required for on-site customer visits, conferences, and developer events (30%)
Desired Qualifications
- 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
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