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 current 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 transformation of AI models, including quantization, pruning, conversion, and hardware-aware optimization.

• Collaborate with AI/ML researchers to integrate trained models into embedded applications and validate edge inference accuracy.

• Optimize for performance, latency, and power efficiency in real-world mobile or vehicle-mounted environments.

• Work with hardware abstraction layers, toolchains, and SDKs for AI acceleration (e.g., HailoRT, TensorRT, OpenVINO, ONNX, TFLite).

• Design and implement robust, fault-tolerant inference pipelines using tools like GStreamer, OpenCV, or FFmpeg.

• Contribute to system architecture discussions focused on scalable AI at the edge, real-time event capture, and safety-critical decision support.

Preferred Qualifications
• Proficient

📌 Embedded AI Engineer (India)
🏢 BusPatrol
📍 India