Location
Santa Clara, CA, United States
Posted
July 25, 2026
Job Description
Description
The Edge Intelligence team, part of Amazon's Connected Vehicles organization within Last Mile Technology, builds and operates real-time intelligence, perception, and camera/sensor fusion systems that run directly on deployed delivery devices. We bridge embedded hardware and cloud platforms to enable low-latency, reliable, and scalable intelligence at the edge, powering the in-vehicle experiences that keep drivers safe and deliveries efficient.
We are building the next generation of smart delivery vehicles, both traditional and electric, combining IoT technologies, real-time data streams, and machine learning to deliver faster, safer, and better.
Key job responsibilities
* On-Device Applications: Design and develop applications that power in-vehicle experiences, improve safety, and enhance delivery efficiency across multiple device platforms
* Edge Inference & ML: Build and optimize on-device inference pipelines for perception, sensor fusion, ...
The Edge Intelligence team, part of Amazon's Connected Vehicles organization within Last Mile Technology, builds and operates real-time intelligence, perception, and camera/sensor fusion systems that run directly on deployed delivery devices. We bridge embedded hardware and cloud platforms to enable low-latency, reliable, and scalable intelligence at the edge, powering the in-vehicle experiences that keep drivers safe and deliveries efficient.
We are building the next generation of smart delivery vehicles, both traditional and electric, combining IoT technologies, real-time data streams, and machine learning to deliver faster, safer, and better.
Key job responsibilities
* On-Device Applications: Design and develop applications that power in-vehicle experiences, improve safety, and enhance delivery efficiency across multiple device platforms
* Edge Inference & ML: Build and optimize on-device inference pipelines for perception, sensor fusion, ...