Embedded AI Engineer

About the role

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.

What you'll do

• 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

What you need

• IoT
• Computer vision
• Deep learning
• Machine learning
• B.Tech or B.E.

Good to have

• C++
• Embedded C
• C
• Python
• gRPC
• Data privacy