Embedded AI Engineer

At BusPatrol, we’re transforming how communities protect students and enforce traffic safety—through intelligent, real-time video analytics and automated enforcement. As part of this mission, we are advancing the shift from cloud-dependent AI to intelligent edge computing.

We’re looking for an Embedded AI Engineer to lead the development and deployment of deep learning models on IoT and edge computing platforms. You’ll work on converting and optimizing computer vision models—such as CNNs, YOLO, RNNs, and OCR—for execution on high-efficiency hardware accelerators like Hailo, NVIDIA Jetson, Intel Movidius, or ARM-based NPUs.

This role is central to scaling BusPatrol’s next-generation Edge AI platform, enabling real-time safety decisions and unlocking new capabilities for school bus fleets, student safety, and public transportation environments.

Key Responsibilities

• Develop and optimize embedded software and AI model inference pipelines for real-time object detection, tracking, and classification at the edge.

• Deploy and maintain vision-based deep learning models (YOLO, CNN, RNN, OCR) on resource-constrained devices using AI accelerators (e.g., Hailo, Jetson, Coral, ARM).

• Lead cloud-to-edge transformati