Manufacturing Innovation Advanced Technology

Required Qualifications Bachelor’s degree in Electrical Engineering, Mechanical Engineering, Computer Science, IT, or related field Minimum 5 years of experience in industrial machine vision and edge AI deployment Strong programming skills in Python and C++ Hands-on experience with PyTorch and/or TensorFlow Experience with Docker and Kubernetes Familiarity with ONNX Runtime and TensorRT optimization Experience integrating vision systems with PLCs and industrial protocols (OPC-UA, MQTT) Experience managing the full ML lifecycle: Data collection Labeling Validation Deployment Monitoring Retraining Experience with industrial cameras, lighting, and trigger-based image capture Ability to travel to North American Manufacturing Centers and Japan as required Master’s degree in Engineering or related field Automotive manufacturing experience Robotics operation, teaching, or maintenance experience Experience deploying automotive production equipment Experience with PFMEA, quality control plans, and equipment launch Expertise in synthetic data generation (GANs, VAEs, NeRFs, Blender) Experience with high-speed inline inspection systems Knowledge of IIoT data pipelines and messaging standards Strong understanding of MSA and quality-critical inspection systems Ability to deliver production-ready AI solutions under tight timelines Strong problem-solving and analytical skills Excellent cross-functional collaboration Commitment to quality, reliability, and continuous improvement Comfortable working in high-volume manufacturing environments Employment Type: Full Time Salary: $63 - $68 Hourly