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

⭐ Preferred Qualifications

• 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

🧠 Key Competencies

• 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