Industrial Vision AI Engineer — Edge ML for Quality

Toyota North America; Georgetown (KY); On-site; USD 110,000 - 160,000; Full time

Benefits offered by this job

Health care & wellness plans

401k with company match

Paid holidays & PTO

Relocation assistance

Job summary

Toyota North America seeks a passionate Engineer to lead end-to-end engineering and deployment of next-generation automated quality inspection systems across NAM manufacturing facilities. You will develop computer vision models, optimize edge inference, and ensure robust integration with PLCs and industrial networks.

You bring 2+ years in industrial machine vision and 3+ years AI/ML with camera-based systems, hands-on Docker/Kubernetes, and a willingness to travel up to 30% in the US and abroad.

Qualifications

• Bachelor's degree or higher in Engineering, Computer Science, IT, or related field.
• 2+ years in industrial machine vision and edge AI deployment.
• 3+ years of AI/ML experience with camera-based vision systems.
• Experience managing the full model lifecycle: data collection, labeling, validation, rollout, monitoring, retraining.

Responsibilities

• Design and develop computer vision models for defect detection, segmentation, and classification.
• Package models with Docker and manage deployments via Kubernetes or equivalent.
• Optimize inference for edge/embedded hardware to meet real-time latency requirements.
• Integrate vision systems with PLCs, encoders, and industrial networks using OPC-UA, MQTT, and REST.
• Lead data annotation campaigns and implement quality gates for model validation.
• Maintain uptime and monitor drift, latency, and false positive/negative rates on production lines.

Skills

Computer vision

Edge AI deployment

MLOps

Team collaboration

Education

Bachelor's degree or higher in Engineering/CS/IT

Tools

Docker

Kubernetes

ONNX Runtime

TensorRT

NVIDIA Jetson

OPC-UA

MQTT

REST

Job description

Toyota North America seeks a passionate Engineer to lead end-to-end engineering and deployment of next-generation automated quality inspection systems across NAM manufacturing facilities. You will develop computer vision models, optimize edge inference, and ensure robust integration with PLCs and industrial networks.

You bring 2+ years in industrial machine vision and 3+ years AI/ML with camera-based systems, hands-on Docker/Kubernetes, and a willingness to travel up to 30% in the US and abroad.