Responsibilities

• Build and own relationships across our Jetson ecosystem — ISVs, OEMs, ODMs, and robotics companies — and drive deep, sustained adoption of the Jetson SW stack.
• Guide customers through the Jetson platform — BSP, security, OTA, real-time behavior, and mixed-criticality workloads — helping them move from integration to production confidently.
• Champion NVIDIA AI libraries and frameworks on Jetson, helping developers extract peak performance for their edge AI and robotics applications.
• Enable deployment of AI models and agentic pipelines on Jetson — on-device LLM inference, vision-language models — matching developers to the right capabilities and practices.
• Feed developer insights directly into our product and engineering teams, shaping platform priorities, reference designs, and go-to-market strategy.
• Stay sharp on the edge AI and robotics landscape to inform platform positioning and continuously improve the developer experience.

Requirements

• 8+ years in embedded systems, platform engineering, developer relations, or technical evangelism in a hardware-software ecosystem, with a Bachelor's degree in CS, EE, or equivalent experience.
• Solid understanding of embedded Linux platforms — BSP, kernel, device drivers, security, OTA, and real-time considerations — sufficient to guide customers through tough integration challenges.
• Proven track record building developer and customer relationships and driving technical adoption at scale across a diverse partner portfolio.
• Excellent communication skills — able to make complex platform internals accessible to developers and translate developer needs clearly back to engineering teams.

Preferred

• Hands-on experience with NVIDIA Jetson platforms (Orin, Xavier) and the JetPack SDK.
• Experience productizing or deploying agentic AI, on-device LLM inference, or VLMs for edge or robotics applications.