Robotics Runtime PMM: Edge AI & ROS Expert

NVIDIA

United States

On-site

USD 148,000 - 236,000

Full time

6 days ago
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Job summary

NVIDIA is building the software foundation for the next generation of intelligent robots. We are seeking a Technical Product Marketing Manager, Edge Runtime to define product positioning, messaging, and go-to-market programs for technologies that enable developers to build, deploy, and optimize AI-powered robots in production.

This role requires hands-on depth in the ROS and edge runtime ecosystem, collaborating with product, engineering, developer relations, solution architects, business

Qualifications

  • Master's degree or equivalent in Engineering, Computer Science, Robotics, AI, or related field.
  • 8+ years in technical product marketing, product marketing, or related roles in robotics software, edge AI, embedded systems, or developer platforms.

Responsibilities

  • Lead technical product marketing for NVIDIA's edge runtime software portfolio, including NVIDIA Isaac ROS and future runtime technologies.
  • Define positioning, messaging, and go-to-market strategy with a unified narrative across perception, mobility, manipulation, and edge deployment.
  • Drive developer adoption of accelerated robot perception workflows, including sensor processing, AI inference, and visual perception.
  • Define GTM programs for robot mobility/navigation workflows, including localization, mapping, and path planning.
  • Lead cross-functional launches and create technical content and assets for developers and sales enablement.

Skills

ROS / ROS 2
Linux
Python or C++
APIs & SDKs
Go-to-market strategy
Developer storytelling

Education

Master's degree in Engineering, CS, Robotics, AI
MBA preferred

Tools

ROS 2

Job description

NVIDIA is building the software foundation for the next generation of intelligent robots. We are seeking a Technical Product Marketing Manager, Edge Runtime to define product positioning, messaging, and go-to-market programs for technologies that enable developers to build, deploy, and optimize AI-powered robots in production.

This role requires hands-on depth in the ROS and edge runtime ecosystem, collaborating with product, engineering, developer relations, solution architects, business

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